Website Redesign Implementation Plan

Website Redesign Implementation Plan

For agentic workers: REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (- [ ]) syntax for tracking.

Goal: Rebuild jonsaadfalcon.com from the current Gaegu-font site to a polished Georgia + Forest Mint (#2E7D6F) design with 4-tab navigation (Home/Publications/CV/Blog).

Architecture: Jekyll static site with SCSS. Replace existing variables/layouts/includes wholesale. Data-driven content via YAML files for mentees, talks, and awards. Homepage uses a custom home layout; Publications and Blog use a page layout. CV links directly to a PDF.

Tech Stack: Jekyll, SCSS, Font Awesome 6.5 (CDN), Academicons (CDN), GitHub Pages.

Reference mockup: .superpowers/brainstorm/32440-1776616151/content/all-pages-mockup-v3.html

Task 1: SCSS Foundation

Replace the variables file and create the new base styles.

Files:

Replace the entire file contents with:

// Breakpoints
$mobile: 640px;

// Design tokens
$accent: #2E7D6F;
$accent-hover: #246858;
$accent-light: #E8F5F0;
$accent-border: rgba(46, 125, 111, 0.3);

$text: #222;
$text-secondary: #555;
$text-muted: #888;

$bg: #ffffff;
$border: #e8e8e8;
$border-light: #f0f0f0;

$font-serif: Georgia, 'Times New Roman', serif;
$font-sans: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;

$max-width: 740px;

$award-highlight: #b8860b;

Replace the entire file contents with:

*, *::before, *::after {
  margin: 0;
  padding: 0;
  box-sizing: border-box;
}

html {
  scroll-behavior: smooth;
}

body {
  font-family: $font-serif;
  color: $text;
  background: $bg;
  line-height: 1.7;
  font-size: 16px;
  -webkit-font-smoothing: antialiased;
}

a {
  color: $accent;
  text-decoration: none;
  border-bottom: 1px solid $accent-border;
  padding-bottom: 0.5px;
  transition: border-color 0.2s, color 0.2s;

  &:hover {
    color: $accent-hover;
    border-bottom-color: $accent;
  }
}

img {
  max-width: 100%;
  height: auto;
}

.container {
  max-width: $max-width;
  margin: 0 auto;
  padding: 0 24px;
}

// Section shared styles
.section {
  margin-bottom: 40px;
}

.section-title {
  font-family: $font-serif;
  font-size: 1.15rem;
  font-weight: 700;
  color: $text;
  margin-bottom: 18px;
  padding-bottom: 10px;
  border-bottom: 2px solid $accent-light;
  letter-spacing: -0.01em;
}

// Page header (for subpages)
.page-header {
  padding: 40px 0 24px;

  h1 {
    font-family: $font-serif;
    font-size: 1.6rem;
    font-weight: 700;
    color: $text;
    letter-spacing: -0.01em;
  }

  p {
    font-size: 0.9rem;
    color: $text-secondary;
    margin-top: 6px;
  }
}

Run: cd /Users/jonsaadfalcon/Documents/PersonalWebsite/jonsaadfalcon.github.io && bundle exec jekyll build 2>&1 | tail -5

Expected: Build succeeds (may have visual issues since layouts aren’t updated yet, but no SCSS compile errors).

git add _sass/_variables.scss _sass/_base.scss
git commit -m "feat: replace SCSS foundation with Georgia + Forest Mint design tokens"

Replace the <head>, header (navigation), and footer partials.

Files:

Replace the entire file contents with:

<head>
  <meta charset="utf-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">

  <!-- Share card -->
  <meta name="twitter:card" content="summary" />
  <meta name="twitter:site" content="@jonsaadfalcon" />
  <meta name="twitter:creator" content="@jonsaadfalcon" />
  <meta property="og:url" content="https://jonsaadfalcon.com/" />
  <meta property="og:title" content="Jon Saad-Falcon" />

  <title>
    
      Website Redesign Implementation Plan — Jon Saad-Falcon
    
  </title>

  <!-- CSS -->
  <link rel="stylesheet" href="/styles.css">

  <!-- Icons: Font Awesome 6.5 + Academicons -->
  <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.1/css/all.min.css">
  <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">

  <!-- Favicons -->
  <link rel="apple-touch-icon" sizes="180x180" href="/icons/apple-touch-icon.png?v=xQdLjRyXLj">
  <link rel="icon" type="image/png" sizes="32x32" href="/icons/favicon-32x32.png?v=xQdLjRyXLj">
  <link rel="icon" type="image/png" sizes="16x16" href="/icons/favicon-16x16.png?v=xQdLjRyXLj">
  <link rel="manifest" href="/icons/site.webmanifest?v=xQdLjRyXLj">
  <link rel="shortcut icon" href="/icons/favicon.ico?v=xQdLjRyXLj">
  <meta name="theme-color" content="#ffffff">

  <!-- Feed -->
  <link type="application/atom+xml" rel="alternate" href="https://jonsaadfalcon.com/feed.xml" title="Jon Saad-Falcon" />
</head>

Replace the entire file contents with:

<nav class="site-nav">
  <div class="nav-inner">
    <a class="nav-name" href="/">Jon Saad-Falcon</a>
    <ul class="nav-links">
      <li><a href="/" >Home</a></li>
      <li><a href="/publications" >Publications</a></li>
      <li><a href="/cv.pdf" class="cv-pdf-link" target="_blank">CV <i class="fa-solid fa-arrow-up-right-from-square"></i></a></li>
      <li><a href="/blog" >Blog</a></li>
    </ul>
  </div>
</nav>

Replace the entire file contents with:

<footer class="site-footer">
  <div class="container">
    <div class="footer-icons">
      <a class="footer-icon" href="https://scholar.google.com/citations?user=zCVmjboAAAAJ&hl=en" title="Google Scholar"><i class="ai ai-google-scholar"></i></a>
      <a class="footer-icon" href="https://www.linkedin.com/in/jonsaadfalcon" title="LinkedIn"><i class="fa-brands fa-linkedin-in"></i></a>
      <a class="footer-icon" href="https://github.com/jonsaadfalcon" title="GitHub"><i class="fa-brands fa-github"></i></a>
      <a class="footer-icon" href="https://twitter.com/JonSaadFalcon" title="Twitter / X"><i class="fa-brands fa-x-twitter"></i></a>
      <a class="footer-icon" href="mailto:jonsaadfalcon@stanford.edu" title="Email"><i class="fa-solid fa-envelope"></i></a>
      <a class="footer-icon" href="/cv.pdf" title="CV"><i class="fa-solid fa-file-lines"></i></a>
    </div>
    <div class="footer-text">&copy; 2026 Jon Saad-Falcon</div>
  </div>
</footer>

git add _includes/head.html _includes/header.html _includes/footer.html
git commit -m "feat: replace head/header/footer with new nav and icon libraries"

Task 3: SCSS Component Styles

Create the SCSS partials for nav, hero, publications, talks, awards, footer, and update imports.

Files:

.site-nav {
  position: sticky;
  top: 0;
  z-index: 100;
  background: rgba(255, 255, 255, 0.95);
  backdrop-filter: blur(8px);
  -webkit-backdrop-filter: blur(8px);
  border-bottom: 1px solid $border;
}

.nav-inner {
  max-width: $max-width;
  margin: 0 auto;
  padding: 14px 24px;
  display: flex;
  align-items: center;
  justify-content: space-between;
}

.nav-name {
  font-family: $font-serif;
  font-size: 1.05rem;
  font-weight: 700;
  color: $text;
  border: none;

  &:hover {
    color: $accent;
    border: none;
  }
}

.nav-links {
  display: flex;
  gap: 28px;
  list-style: none;

  a {
    font-family: $font-serif;
    font-size: 0.88rem;
    color: $text-secondary;
    border: none;
    transition: color 0.2s;

    &:hover {
      color: $accent;
      border: none;
    }

    &.active {
      color: $accent;
      font-weight: 600;
    }

    &.cv-pdf-link {
      display: inline-flex;
      align-items: center;
      gap: 4px;

      i {
        font-size: 0.72rem;
        opacity: 0.6;
      }
    }
  }

  @media (max-width: $mobile) {
    gap: 16px;

    a {
      font-size: 0.82rem;
    }
  }
}

.hero {
  padding: 48px 0 36px;
  display: grid;
  grid-template-columns: clamp(160px, 22vw, 210px) 1fr;
  gap: clamp(24px, 3.5vw, 36px);
  align-items: start;

  @media (max-width: $mobile) {
    grid-template-columns: 1fr;
    text-align: center;
    gap: 20px;
  }
}

.hero-left {
  display: flex;
  flex-direction: column;
  align-items: center;
  gap: 10px;

  @media (max-width: $mobile) {
    width: 200px;
    margin: 0 auto;
  }
}

.hero-photo {
  width: 100%;
  aspect-ratio: 1;
  border-radius: 14px;
  object-fit: cover;
  box-shadow: 0 6px 16px rgba(0, 0, 0, 0.08);
}

.hero-role {
  font-size: 0.74rem;
  color: $text-secondary;
  text-align: center;
  line-height: 1.35;
}

// Social icon grid (2x3)
.social-icons {
  display: grid;
  grid-template-columns: repeat(3, 38px);
  gap: 10px;
  justify-content: center;
}

.social-icon {
  display: flex;
  align-items: center;
  justify-content: center;
  width: 38px;
  height: 38px;
  border-radius: 9px;
  background: $accent-light;
  color: $accent;
  font-size: 1.05rem;
  border: none;
  transition: background 0.2s, color 0.2s, transform 0.15s;

  &:hover {
    background: $accent;
    color: #fff;
    border: none;
    transform: translateY(-1px);
  }
}

// Advisor/mentee section under photo
.hero-people {
  width: 100%;
  margin-top: 6px;
  text-align: left;

  @media (max-width: $mobile) {
    text-align: center;
  }
}

.hero-people-label {
  font-size: 0.78rem;
  font-weight: 700;
  color: $text;
  margin-bottom: 2px;
  margin-top: 10px;

  &:first-child {
    margin-top: 0;
  }
}

.hero-people-text {
  font-size: 0.76rem;
  color: $text-secondary;
  line-height: 1.5;

  a {
    color: $accent;
    border-bottom: none;
    font-size: 0.76rem;

    &:hover {
      border-bottom: 1px solid $accent-border;
    }
  }

  .dest {
    color: $text-muted;
    font-size: 0.72rem;
  }
}

// Right column
.hero-text {
  h1 {
    font-size: clamp(1.5rem, 2.5vw + 0.8rem, 1.9rem);
    font-weight: 700;
    line-height: 1.15;
    margin-bottom: 12px;
    letter-spacing: -0.01em;
  }
}

.hero-bio {
  font-size: 0.92rem;
  line-height: 1.75;
  margin-bottom: 16px;

  strong {
    font-weight: 600;
  }
}

.hero-supporters {
  font-size: 0.85rem;
  color: $text-secondary;
  margin-bottom: 16px;
}

.pub-list {
  list-style: none;
}

.pub-item {
  padding: 16px 0;
  border-bottom: 1px solid $border-light;

  &:last-child {
    border-bottom: none;
  }
}

.pub-title {
  font-size: 0.92rem;
  font-weight: 600;
  color: $text;
  margin-bottom: 4px;
  line-height: 1.4;
}

.pub-authors {
  font-size: 0.82rem;
  color: $text-secondary;
  margin-bottom: 3px;
  line-height: 1.45;

  .me {
    font-weight: 700;
    color: $text;
  }
}

.pub-venue {
  font-size: 0.8rem;
  color: $text-muted;
  font-style: italic;
  margin-bottom: 6px;

  .highlight {
    font-style: normal;
    color: $award-highlight;
    font-weight: 600;
  }
}

.pub-links {
  display: flex;
  gap: 14px;
}

.pub-link {
  font-size: 0.78rem;
  font-family: $font-sans;
  color: $accent;
  border-bottom: 1px solid $accent-border;
  font-weight: 500;
  letter-spacing: 0.01em;

  &:hover {
    border-bottom-color: $accent;
  }
}

.year-heading {
  font-family: $font-serif;
  font-size: 1.05rem;
  font-weight: 700;
  color: $accent;
  margin-top: 32px;
  margin-bottom: 4px;
  padding-bottom: 6px;
  border-bottom: 1px solid $accent-light;

  &:first-of-type {
    margin-top: 0;
  }
}

.talk-list {
  list-style: none;
}

.talk-item {
  padding: 14px 0;
  border-bottom: 1px solid $border-light;

  &:last-child {
    border-bottom: none;
  }
}

.talk-title {
  font-size: 0.92rem;
  font-weight: 600;
  color: $text;
  margin-bottom: 8px;
  line-height: 1.4;
}

.talk-venues {
  list-style: disc;
  padding-left: 20px;
  display: flex;
  flex-direction: column;
  gap: 4px;
}

.talk-venue {
  font-size: 0.82rem;
  color: $text-secondary;
  line-height: 1.45;

  .talk-date {
    color: $text-muted;
    font-size: 0.78rem;
  }
}

.award-list {
  list-style: none;
}

.award-item {
  display: grid;
  grid-template-columns: 1fr auto;
  gap: 16px;
  padding: 10px 0;
  border-bottom: 1px solid $border-light;
  align-items: baseline;

  &:last-child {
    border-bottom: none;
  }

  @media (max-width: $mobile) {
    grid-template-columns: 1fr;
    gap: 2px;
  }
}

.award-name {
  font-size: 0.88rem;
  color: $text;
  line-height: 1.45;
}

.award-org {
  font-weight: 600;
}

.award-year {
  font-size: 0.8rem;
  color: $text-muted;
  white-space: nowrap;
  font-variant-numeric: tabular-nums;
}

Replace the entire file contents with:

.site-footer {
  margin-top: 48px;
  padding: 28px 0;
  border-top: 1px solid $border;
  text-align: center;
}

.footer-icons {
  display: flex;
  justify-content: center;
  gap: 16px;
  margin-bottom: 12px;
}

.footer-icon {
  color: $text-muted;
  font-size: 1rem;
  border: none;
  transition: color 0.2s;

  &:hover {
    color: $accent;
    border: none;
  }
}

.footer-text {
  font-size: 0.75rem;
  color: $text-muted;
  font-family: $font-sans;
}

Replace the entire file contents with:

---
# Main SCSS file
---

@import "variables";
@import "base";

@import "nav";
@import "hero";
@import "publications";
@import "talks";
@import "awards";
@import "footer";

@import "code";
@import "syntax";
@import "print";

Run: cd /Users/jonsaadfalcon/Documents/PersonalWebsite/jonsaadfalcon.github.io && bundle exec jekyll build 2>&1 | tail -5

Expected: Build succeeds with no SCSS errors.

git add _sass/_nav.scss _sass/_hero.scss _sass/_publications.scss _sass/_talks.scss _sass/_awards.scss _sass/_footer.scss styles.scss
git commit -m "feat: add all SCSS component styles for new design"

Task 4: Layouts

Update the default and home layouts, and the page layout.

Files:

Replace the entire file contents with:

<!DOCTYPE html>
<html lang="en-US">
  <head>
  <meta charset="utf-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">

  <meta name="twitter:card" content="summary" />
  <meta name="twitter:site" content="@jonsaadfalcon" />
  <meta name="twitter:creator" content="@jonsaadfalcon" />
  <meta property="og:url" content="https://jonsaadfalcon.com/" />
  <meta property="og:title" content="Jon Saad-Falcon" />

  <title>
    
      Website Redesign Implementation Plan — Jon Saad-Falcon
    
  </title>

  <link rel="stylesheet" href="/styles.css">
  <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.1/css/all.min.css">
  <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">

  <link rel="apple-touch-icon" sizes="180x180" href="/icons/apple-touch-icon.png?v=2026-05-03b">
  <link rel="icon" type="image/png" sizes="32x32" href="/icons/favicon-32x32.png?v=2026-05-03b">
  <link rel="icon" type="image/png" sizes="16x16" href="/icons/favicon-16x16.png?v=2026-05-03b">
  <link rel="manifest" href="/icons/site.webmanifest?v=2026-05-03b">
  <link rel="shortcut icon" href="/icons/favicon.ico?v=2026-05-03b">
  <meta name="theme-color" content="#2E7D6F">

  <link type="application/atom+xml" rel="alternate" href="https://jonsaadfalcon.com/feed.xml" title="Jon Saad-Falcon" />
</head>

  <body>
    <nav class="site-nav">
  <div class="nav-inner">
    <a class="nav-name" href="/">Jon Saad-Falcon</a>
    <ul class="nav-links">
      <li><a href="/" >Home</a></li>
      <li><a href="/publications" >Publications</a></li>
      <li><a href="/cv.pdf" class="cv-pdf-link" target="_blank">CV <i class="fa-solid fa-arrow-up-right-from-square"></i></a></li>
      <li><a href="/blog" >Blog</a></li>
    </ul>
  </div>
</nav>

    <main class="container">
      <div class="page-header">
  <h1>Jon Saad-Falcon</h1>
  
</div>
<h1 id="jon-saad-falcon">Jon Saad-Falcon</h1>

<table>
  <tbody>
    <tr>
      <td>jonsaadfalcon@stanford.edu</td>
      <td>jonsaadfalcon.com</td>
      <td>Google Scholar</td>
    </tr>
  </tbody>
</table>

<p>Scaling Intelligence Lab and Hazy Research, Stanford University</p>

<hr />

<h2 id="education">Education</h2>

<p><strong>Ph.D.</strong>, Computer Science, Stanford University (2023 – present)
Advisors: Christopher Re and Azalia Mirhoseini</p>

<p><strong>M.B.A.</strong>, Stanford Graduate School of Business (2023 – present)</p>

<p><strong>B.S. – M.S.</strong>, Computer Science, Georgia Institute of Technology (2018 – 2022)
Advisor: Duen Horng (Polo) Chau
Minors: Mathematics and Linguistics</p>

<hr />

<h2 id="research-experience">Research Experience</h2>

<p><strong>2023 – present</strong> | <strong>PhD Researcher</strong>, Stanford University, Computer Science
Areas: language models, ML systems, intelligence efficiency, inference-time techniques.</p>

<table>
  <tbody>
    <tr>
      <td><strong>2026 – present</strong></td>
      <td><strong>Google Student Researcher</strong>, Google – TPU and Gemini teams</td>
    </tr>
  </tbody>
</table>

<p><strong>2023</strong> | <strong>Research Intern</strong>, Databricks, Office of the CTO (San Francisco, CA)
Research internship with Prof. Matei Zaharia. Built automated evaluation system for retrieval-augmented generation (RAG).</p>

<p><strong>2022 – 2023</strong> | <strong>Fulbright Scholar</strong>, Humboldt-Universitat zu Berlin (Germany)
Research collaboration with Prof. Ulf Leser. Developed AI-powered techniques for patient treatment design using EHRs.</p>

<p><strong>2021 – 2022</strong> | <strong>Predoctoral Young Investigator</strong>, Allen Institute for Artificial Intelligence (AI2) – Semantic Scholar
Mentors: Doug Downey and Daniel Weld. Designed efficiency techniques for caching and reusing sequence representations in language models.</p>

<p><strong>2021</strong> | <strong>Research Intern</strong>, Stanford University, Center for the Study of Language and Information (CSLI)
Research internship with Prof. Christopher Potts and Prof. Matei Zaharia. NSF-funded REU; built the LoTTE benchmark and contributed to ColBERTv2.</p>

<p><strong>2019 – 2022</strong> | <strong>Undergraduate Research Assistant</strong>, Georgia Institute of Technology
Advisors: Duen Horng (Polo) Chau and Diyi Yang. Projects in NLP, data visualization, and computational social science.</p>

<hr />

<h2 id="awards--honors">Awards &amp; Honors</h2>

<table>
  <tbody>
    <tr>
      <td><strong>2025</strong></td>
      <td>JP Morgan AI/ML Fellowship</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Stanford Graduate Fellowship</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Stanford EDGE Fellowship</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>GEM PhD Fellowship, National GEM Consortium</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Knight-Hennessy Scholarship, Finalist, Stanford University</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Gates-Cambridge Scholarship, Bill &amp; Melinda Gates Foundation</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>College of Engineering Fellowship, University of California, Berkeley</td>
    </tr>
    <tr>
      <td><strong>2022</strong></td>
      <td>Fulbright Scholarship, Research Award, U.S. State Department and German Federal Foreign Office</td>
    </tr>
    <tr>
      <td><strong>2022</strong></td>
      <td>Summer Venture in Management Program (SVMP), Harvard Business School</td>
    </tr>
    <tr>
      <td><strong>2021</strong></td>
      <td>Donald V. Jackson Fellowship, Georgia Tech</td>
    </tr>
    <tr>
      <td><strong>2021</strong></td>
      <td>Computer Science Research Mentorship Program, Google</td>
    </tr>
    <tr>
      <td><strong>2021</strong></td>
      <td>U.N. Millennium Fellowship, United Nations</td>
    </tr>
    <tr>
      <td><strong>2020</strong></td>
      <td>D.E. Shaw Nexus Fellowship</td>
    </tr>
    <tr>
      <td><strong>2020</strong></td>
      <td>President’s Undergraduate Research Award, Georgia Tech</td>
    </tr>
    <tr>
      <td><strong>2018</strong></td>
      <td>Stamps President’s Scholarship, Georgia Tech</td>
    </tr>
  </tbody>
</table>

<hr />

<h2 id="publications">Publications</h2>

<h3 id="preprints">Preprints</h3>

<p>P1. <strong>Saad-Falcon, Jon</strong> et al. <em>OpenJarvis: Personal AI, On Personal Devices.</em> 2026. Blog: https://scalingintelligence.stanford.edu/blogs/openjarvis/ Code: https://github.com/open-jarvis/OpenJarvis</p>

<p>P2. <strong>Saad-Falcon, Jon</strong>, Narayan, A., Akengin, O., Griffin, W., Shandilya, H., Lafuente, A., Goel, M., Joseph, R., Natarajan, S., Guha, E., Zhu, S., Athiwaratkun, B., Hennessy, J., Mirhoseini, A. &amp; Re, C. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> 2025. https://arxiv.org/abs/2511.07885</p>

<h3 id="peer-reviewed-conference-proceedings">Peer-reviewed Conference Proceedings</h3>

<p>C1. <strong>Saad-Falcon, Jon</strong>, Buchanan, E. K., Chen, M. F., Huang, T.-H., McLaughlin, B., Bhathal, T., Zhu, S., Athiwaratkun, B., Sala, F., Linderman, S., Mirhoseini, A. &amp; Re, C. <em>Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers.</em> NeurIPS 2025. https://arxiv.org/abs/2506.18203</p>

<p>C2. <strong>Saad-Falcon, Jon</strong>, Vivek, R., Berrios, W., Naik, N., Franklin, M., Vidgen, B., Singh, A., Kiela, D. &amp; Mehri, S. <em>LMUnit: Fine-grained Evaluation with Natural Language Unit Tests.</em> EMNLP 2025. https://arxiv.org/abs/2412.13091</p>

<p>C3. <strong>Saad-Falcon, Jon</strong>, Lafuente Gamarra, A., Natarajan, S., Maru, N., Todorov, H., Guha, E., Buchanan, E. K., Chen, M., Guha, N., Re, C. &amp; Mirhoseini, A. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> ICML 2025. https://arxiv.org/abs/2409.15254
Also: ICLR 2025, Scaling Self-Improving Foundation Models (SSI FM), <strong>Oral Presentation</strong>.</p>

<p>C4. <strong>Saad-Falcon, Jon</strong>, Fu, D. Y., Arora, S., Guha, N. &amp; Re, C. <em>Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT.</em> ICML 2024. https://arxiv.org/abs/2402.07440</p>

<p>C5. <strong>Saad-Falcon, Jon</strong>, Barrow, J., Siu, A., Nenkova, A., Yoon, S., Rossi, R. A. &amp; Dernoncourt, F. <em>PDFTriage: Question Answering over Long, Structured Documents.</em> EMNLP Industry 2024. https://aclanthology.org/2024.emnlp-industry.13.pdf</p>

<p>C6. <strong>Saad-Falcon, Jon</strong>, Khattab, O., Potts, C. &amp; Zaharia, M. <em>ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems.</em> NAACL 2024, <strong>Oral Presentation</strong>. https://arxiv.org/abs/2311.09476</p>

<p>C7. <strong>Saad-Falcon, Jon</strong>, Khattab, O., Santhanam, K., Florian, R., Roukos, S., Sultan, M. A., Sil, A., Zaharia, M. &amp; Potts, C. <em>UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers.</em> EMNLP 2023.</p>

<p>C8. <strong>Saad-Falcon, Jon</strong>, Singh, A., Soldaini, L., D’Arcy, M., Cohan, A. &amp; Downey, D. <em>Embedding Recycling for Language Models.</em> EACL 2023. https://arxiv.org/abs/2207.04993</p>

<p>C9. Santhanam*, K., <strong>Saad-Falcon*, Jon</strong>, Franz, M., Khattab, O., Sil, A., Florian, R., Sultan, M. A., Roukos, S., Zaharia, M. &amp; Potts, C. <em>Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking.</em> ACL Findings 2023.</p>

<p>C10. Lahav, D., <strong>Saad-Falcon, Jon</strong>, Kuehl, B., Johnson, S., Parasa, S., Shomron, N., Chau, D. H., Yang, D., Horvitz, E., Weld, D. S. &amp; Hope, T. <em>A Search Engine for Discovery of Scientific Challenges and Directions.</em> AAAI 2022, <strong>Oral Presentation</strong>. https://arxiv.org/abs/2108.13751</p>

<p>C11. Santhanam*, K., Khattab*, O., <strong>Saad-Falcon, Jon</strong>, Potts, C. &amp; Zaharia, M. <em>ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.</em> NAACL 2022. https://arxiv.org/abs/2112.01488</p>

<p>C12. Li, K., Yang, H., Upadhayay, A., Zhou, Z., <strong>Saad-Falcon, Jon</strong> &amp; Chau, D. H. <em>Argo Scholar: Interactive Visual Exploration of Literature in Browsers.</em> IEEE VIS 2021, <strong>Best Poster, Honorable Mention</strong>.</p>

<p>C13. Shaikh, O., <strong>Saad-Falcon, Jon</strong>, Wright, A. P., Das, N., Freitas, S., Asensio, O. I. &amp; Chau, D. H. <em>EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models.</em> CHI LBW 2021.</p>

<p>C14. Shaikh, O., Chen, J., <strong>Saad-Falcon, Jon</strong>, Chau, D. H. &amp; Yang, D. <em>Examining the Ordering of Rhetorical Strategies in Persuasive Requests.</em> EMNLP Findings 2020.</p>

<p>C15. <strong>Saad-Falcon, Jon</strong>, Shaikh, O., Wang, Z. J., Wright, A. P., Richardson, S. &amp; Chau, D. H. <em>Mapping Researchers with PeopleMap.</em> IEEE VIS 2020, <strong>Best Poster, Honorable Mention</strong>. https://arxiv.org/abs/2009.00091</p>

<hr />

<h2 id="invited-talks">Invited Talks</h2>

<p>T1. <strong>Saad-Falcon, Jon</strong>. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> EE292P: Atoms, Bits, and National Interest (ABNI), Stanford University. Feb. 2026.
T2. <strong>Saad-Falcon, Jon</strong>. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> Two Sigma. Jan. 2026.
T3. <strong>Saad-Falcon, Jon</strong>. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> MBZUAI Speech and NLP Symposium. Jan. 2026.
T4. <strong>Saad-Falcon, Jon</strong>. <em>Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers.</em> Measuring Intelligence Summit at PyTorch Conference. Oct. 2025.
T5. <strong>Saad-Falcon, Jon</strong>. <em>Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers.</em> Together AI. Jul. 2025.
T6. <strong>Saad-Falcon, Jon</strong>. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> LLMs Meet Data Processing Workshop, UC Berkeley. May 2025.
T7. <strong>Saad-Falcon, Jon</strong>. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> Databricks. Feb. 2025.
T8. <strong>Saad-Falcon, Jon</strong>. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> Contextual AI. Oct. 2024.</p>

<hr />

<h2 id="mentorship">Mentorship</h2>

<h3 id="current-mentees">Current Mentees</h3>

<table>
  <tbody>
    <tr>
      <td>2024 – present</td>
      <td>Hangoo Kang, Hannah Gao, Harsh Singh, Matthew Hart, Orhun Akengin, Tanvir Bhathal, Tarun Suresh</td>
    </tr>
  </tbody>
</table>

<h3 id="past-mentees">Past Mentees</h3>

<p>Adrian Lafuente Gamarra (now Salesforce), Brendan McLaughlin (now Reflection AI), Herumb Shandilya (now Mixed Bread), Robby Manihani (now Pace), Wes Griffin (Stanford)</p>

<hr />

<h2 id="teaching">Teaching</h2>

<table>
  <tbody>
    <tr>
      <td><strong>Autumn 2025</strong></td>
      <td>Teaching Assistant, <strong>CS 224V: Conversational Virtual Assistants with Deep Learning</strong>, Stanford University</td>
    </tr>
  </tbody>
</table>

<table>
  <tbody>
    <tr>
      <td><strong>Winter 2025</strong></td>
      <td>Teaching Assistant, <strong>CS329A: Self-Improving Agents</strong>, Stanford University</td>
    </tr>
  </tbody>
</table>

<hr />

<h2 id="service--community">Service &amp; Community</h2>

<h3 id="academic-service">Academic Service</h3>

<table>
  <tbody>
    <tr>
      <td>2025</td>
      <td>Reviewer, NeurIPS 2025</td>
    </tr>
    <tr>
      <td>2024</td>
      <td>Reviewer, EMNLP 2024</td>
    </tr>
    <tr>
      <td>2024</td>
      <td>Reviewer, ICML 2024</td>
    </tr>
    <tr>
      <td>2022</td>
      <td>Reviewer, NAACL 2022</td>
    </tr>
    <tr>
      <td>2020</td>
      <td>Reviewer, EMNLP 2020</td>
    </tr>
    <tr>
      <td>2020</td>
      <td>Reviewer, ACL 2020</td>
    </tr>
  </tbody>
</table>

<h3 id="leadership--community-engagement">Leadership &amp; Community Engagement</h3>

<p><strong>2025 – present</strong> | <strong>SoE Dean’s Graduate Student Advisory Council (DGSAC)</strong>, Chair for Computer Science, Stanford University
Built first centralized database of fellowships, RA/CA, and internship opportunities across 9 departments with SoE leadership. Connected 30+ students with fellowships, 50+ with internships, and 40+ with RA placements in 2025-26.</p>

<p><strong>2021 – 2022</strong> | <strong>Georgia Tech Venture Capital Fund</strong>, Co-founder and Student Director
Collaborated with Georgia Tech president’s office and alumni association to establish first GT-backed VC fund. Created educational curriculum for teaching 40+ students. Raised an inaugural $10+ million early-stage fund.</p>

<p><strong>2020 – 2022</strong> | <strong>Georgia Tech Computer Science Outreach Club</strong>, Founding Member and Volunteer
Developed coding workshops and lectures to teach 50+ underprivileged youth from Atlanta-area high schools.</p>

<hr />

<h2 id="other-experience">Other Experience</h2>

<p><strong>2020</strong> | <strong>Research Analyst</strong>, Goldman Sachs, Global Investment Research (New York City, NY)
Used quantitative techniques and NLP tools for company valuation. Collaborated with traders and external clients.</p>

<hr />

<p><em>Last updated: April 2026</em></p>


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  <h1>Jon Saad-Falcon</h1>
  
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<h1 id="jon-saad-falcon">Jon Saad-Falcon</h1>

<table>
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      <td>jonsaadfalcon@stanford.edu</td>
      <td>jonsaadfalcon.com</td>
      <td>Google Scholar</td>
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<p>Scaling Intelligence Lab and Hazy Research, Stanford University</p>

<hr />

<h2 id="education">Education</h2>

<p><strong>Ph.D.</strong>, Computer Science, Stanford University (2023 – present)
Advisors: Christopher Re and Azalia Mirhoseini</p>

<p><strong>M.B.A.</strong>, Stanford Graduate School of Business (2023 – present)</p>

<p><strong>B.S. – M.S.</strong>, Computer Science, Georgia Institute of Technology (2018 – 2022)
Advisor: Duen Horng (Polo) Chau
Minors: Mathematics and Linguistics</p>

<hr />

<h2 id="research-experience">Research Experience</h2>

<p><strong>2023 – present</strong> | <strong>PhD Researcher</strong>, Stanford University, Computer Science
Areas: language models, ML systems, intelligence efficiency, inference-time techniques.</p>

<table>
  <tbody>
    <tr>
      <td><strong>2026 – present</strong></td>
      <td><strong>Google Student Researcher</strong>, Google – TPU and Gemini teams</td>
    </tr>
  </tbody>
</table>

<p><strong>2023</strong> | <strong>Research Intern</strong>, Databricks, Office of the CTO (San Francisco, CA)
Research internship with Prof. Matei Zaharia. Built automated evaluation system for retrieval-augmented generation (RAG).</p>

<p><strong>2022 – 2023</strong> | <strong>Fulbright Scholar</strong>, Humboldt-Universitat zu Berlin (Germany)
Research collaboration with Prof. Ulf Leser. Developed AI-powered techniques for patient treatment design using EHRs.</p>

<p><strong>2021 – 2022</strong> | <strong>Predoctoral Young Investigator</strong>, Allen Institute for Artificial Intelligence (AI2) – Semantic Scholar
Mentors: Doug Downey and Daniel Weld. Designed efficiency techniques for caching and reusing sequence representations in language models.</p>

<p><strong>2021</strong> | <strong>Research Intern</strong>, Stanford University, Center for the Study of Language and Information (CSLI)
Research internship with Prof. Christopher Potts and Prof. Matei Zaharia. NSF-funded REU; built the LoTTE benchmark and contributed to ColBERTv2.</p>

<p><strong>2019 – 2022</strong> | <strong>Undergraduate Research Assistant</strong>, Georgia Institute of Technology
Advisors: Duen Horng (Polo) Chau and Diyi Yang. Projects in NLP, data visualization, and computational social science.</p>

<hr />

<h2 id="awards--honors">Awards &amp; Honors</h2>

<table>
  <tbody>
    <tr>
      <td><strong>2025</strong></td>
      <td>JP Morgan AI/ML Fellowship</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Stanford Graduate Fellowship</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Stanford EDGE Fellowship</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>GEM PhD Fellowship, National GEM Consortium</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Knight-Hennessy Scholarship, Finalist, Stanford University</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Gates-Cambridge Scholarship, Bill &amp; Melinda Gates Foundation</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>College of Engineering Fellowship, University of California, Berkeley</td>
    </tr>
    <tr>
      <td><strong>2022</strong></td>
      <td>Fulbright Scholarship, Research Award, U.S. State Department and German Federal Foreign Office</td>
    </tr>
    <tr>
      <td><strong>2022</strong></td>
      <td>Summer Venture in Management Program (SVMP), Harvard Business School</td>
    </tr>
    <tr>
      <td><strong>2021</strong></td>
      <td>Donald V. Jackson Fellowship, Georgia Tech</td>
    </tr>
    <tr>
      <td><strong>2021</strong></td>
      <td>Computer Science Research Mentorship Program, Google</td>
    </tr>
    <tr>
      <td><strong>2021</strong></td>
      <td>U.N. Millennium Fellowship, United Nations</td>
    </tr>
    <tr>
      <td><strong>2020</strong></td>
      <td>D.E. Shaw Nexus Fellowship</td>
    </tr>
    <tr>
      <td><strong>2020</strong></td>
      <td>President’s Undergraduate Research Award, Georgia Tech</td>
    </tr>
    <tr>
      <td><strong>2018</strong></td>
      <td>Stamps President’s Scholarship, Georgia Tech</td>
    </tr>
  </tbody>
</table>

<hr />

<h2 id="publications">Publications</h2>

<h3 id="preprints">Preprints</h3>

<p>P1. <strong>Saad-Falcon, Jon</strong> et al. <em>OpenJarvis: Personal AI, On Personal Devices.</em> 2026. Blog: https://scalingintelligence.stanford.edu/blogs/openjarvis/ Code: https://github.com/open-jarvis/OpenJarvis</p>

<p>P2. <strong>Saad-Falcon, Jon</strong>, Narayan, A., Akengin, O., Griffin, W., Shandilya, H., Lafuente, A., Goel, M., Joseph, R., Natarajan, S., Guha, E., Zhu, S., Athiwaratkun, B., Hennessy, J., Mirhoseini, A. &amp; Re, C. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> 2025. https://arxiv.org/abs/2511.07885</p>

<h3 id="peer-reviewed-conference-proceedings">Peer-reviewed Conference Proceedings</h3>

<p>C1. <strong>Saad-Falcon, Jon</strong>, Buchanan, E. K., Chen, M. F., Huang, T.-H., McLaughlin, B., Bhathal, T., Zhu, S., Athiwaratkun, B., Sala, F., Linderman, S., Mirhoseini, A. &amp; Re, C. <em>Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers.</em> NeurIPS 2025. https://arxiv.org/abs/2506.18203</p>

<p>C2. <strong>Saad-Falcon, Jon</strong>, Vivek, R., Berrios, W., Naik, N., Franklin, M., Vidgen, B., Singh, A., Kiela, D. &amp; Mehri, S. <em>LMUnit: Fine-grained Evaluation with Natural Language Unit Tests.</em> EMNLP 2025. https://arxiv.org/abs/2412.13091</p>

<p>C3. <strong>Saad-Falcon, Jon</strong>, Lafuente Gamarra, A., Natarajan, S., Maru, N., Todorov, H., Guha, E., Buchanan, E. K., Chen, M., Guha, N., Re, C. &amp; Mirhoseini, A. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> ICML 2025. https://arxiv.org/abs/2409.15254
Also: ICLR 2025, Scaling Self-Improving Foundation Models (SSI FM), <strong>Oral Presentation</strong>.</p>

<p>C4. <strong>Saad-Falcon, Jon</strong>, Fu, D. Y., Arora, S., Guha, N. &amp; Re, C. <em>Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT.</em> ICML 2024. https://arxiv.org/abs/2402.07440</p>

<p>C5. <strong>Saad-Falcon, Jon</strong>, Barrow, J., Siu, A., Nenkova, A., Yoon, S., Rossi, R. A. &amp; Dernoncourt, F. <em>PDFTriage: Question Answering over Long, Structured Documents.</em> EMNLP Industry 2024. https://aclanthology.org/2024.emnlp-industry.13.pdf</p>

<p>C6. <strong>Saad-Falcon, Jon</strong>, Khattab, O., Potts, C. &amp; Zaharia, M. <em>ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems.</em> NAACL 2024, <strong>Oral Presentation</strong>. https://arxiv.org/abs/2311.09476</p>

<p>C7. <strong>Saad-Falcon, Jon</strong>, Khattab, O., Santhanam, K., Florian, R., Roukos, S., Sultan, M. A., Sil, A., Zaharia, M. &amp; Potts, C. <em>UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers.</em> EMNLP 2023.</p>

<p>C8. <strong>Saad-Falcon, Jon</strong>, Singh, A., Soldaini, L., D’Arcy, M., Cohan, A. &amp; Downey, D. <em>Embedding Recycling for Language Models.</em> EACL 2023. https://arxiv.org/abs/2207.04993</p>

<p>C9. Santhanam*, K., <strong>Saad-Falcon*, Jon</strong>, Franz, M., Khattab, O., Sil, A., Florian, R., Sultan, M. A., Roukos, S., Zaharia, M. &amp; Potts, C. <em>Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking.</em> ACL Findings 2023.</p>

<p>C10. Lahav, D., <strong>Saad-Falcon, Jon</strong>, Kuehl, B., Johnson, S., Parasa, S., Shomron, N., Chau, D. H., Yang, D., Horvitz, E., Weld, D. S. &amp; Hope, T. <em>A Search Engine for Discovery of Scientific Challenges and Directions.</em> AAAI 2022, <strong>Oral Presentation</strong>. https://arxiv.org/abs/2108.13751</p>

<p>C11. Santhanam*, K., Khattab*, O., <strong>Saad-Falcon, Jon</strong>, Potts, C. &amp; Zaharia, M. <em>ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.</em> NAACL 2022. https://arxiv.org/abs/2112.01488</p>

<p>C12. Li, K., Yang, H., Upadhayay, A., Zhou, Z., <strong>Saad-Falcon, Jon</strong> &amp; Chau, D. H. <em>Argo Scholar: Interactive Visual Exploration of Literature in Browsers.</em> IEEE VIS 2021, <strong>Best Poster, Honorable Mention</strong>.</p>

<p>C13. Shaikh, O., <strong>Saad-Falcon, Jon</strong>, Wright, A. P., Das, N., Freitas, S., Asensio, O. I. &amp; Chau, D. H. <em>EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models.</em> CHI LBW 2021.</p>

<p>C14. Shaikh, O., Chen, J., <strong>Saad-Falcon, Jon</strong>, Chau, D. H. &amp; Yang, D. <em>Examining the Ordering of Rhetorical Strategies in Persuasive Requests.</em> EMNLP Findings 2020.</p>

<p>C15. <strong>Saad-Falcon, Jon</strong>, Shaikh, O., Wang, Z. J., Wright, A. P., Richardson, S. &amp; Chau, D. H. <em>Mapping Researchers with PeopleMap.</em> IEEE VIS 2020, <strong>Best Poster, Honorable Mention</strong>. https://arxiv.org/abs/2009.00091</p>

<hr />

<h2 id="invited-talks">Invited Talks</h2>

<p>T1. <strong>Saad-Falcon, Jon</strong>. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> EE292P: Atoms, Bits, and National Interest (ABNI), Stanford University. Feb. 2026.
T2. <strong>Saad-Falcon, Jon</strong>. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> Two Sigma. Jan. 2026.
T3. <strong>Saad-Falcon, Jon</strong>. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> MBZUAI Speech and NLP Symposium. Jan. 2026.
T4. <strong>Saad-Falcon, Jon</strong>. <em>Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers.</em> Measuring Intelligence Summit at PyTorch Conference. Oct. 2025.
T5. <strong>Saad-Falcon, Jon</strong>. <em>Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers.</em> Together AI. Jul. 2025.
T6. <strong>Saad-Falcon, Jon</strong>. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> LLMs Meet Data Processing Workshop, UC Berkeley. May 2025.
T7. <strong>Saad-Falcon, Jon</strong>. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> Databricks. Feb. 2025.
T8. <strong>Saad-Falcon, Jon</strong>. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> Contextual AI. Oct. 2024.</p>

<hr />

<h2 id="mentorship">Mentorship</h2>

<h3 id="current-mentees">Current Mentees</h3>

<table>
  <tbody>
    <tr>
      <td>2024 – present</td>
      <td>Hangoo Kang, Hannah Gao, Harsh Singh, Matthew Hart, Orhun Akengin, Tanvir Bhathal, Tarun Suresh</td>
    </tr>
  </tbody>
</table>

<h3 id="past-mentees">Past Mentees</h3>

<p>Adrian Lafuente Gamarra (now Salesforce), Brendan McLaughlin (now Reflection AI), Herumb Shandilya (now Mixed Bread), Robby Manihani (now Pace), Wes Griffin (Stanford)</p>

<hr />

<h2 id="teaching">Teaching</h2>

<table>
  <tbody>
    <tr>
      <td><strong>Autumn 2025</strong></td>
      <td>Teaching Assistant, <strong>CS 224V: Conversational Virtual Assistants with Deep Learning</strong>, Stanford University</td>
    </tr>
  </tbody>
</table>

<table>
  <tbody>
    <tr>
      <td><strong>Winter 2025</strong></td>
      <td>Teaching Assistant, <strong>CS329A: Self-Improving Agents</strong>, Stanford University</td>
    </tr>
  </tbody>
</table>

<hr />

<h2 id="service--community">Service &amp; Community</h2>

<h3 id="academic-service">Academic Service</h3>

<table>
  <tbody>
    <tr>
      <td>2025</td>
      <td>Reviewer, NeurIPS 2025</td>
    </tr>
    <tr>
      <td>2024</td>
      <td>Reviewer, EMNLP 2024</td>
    </tr>
    <tr>
      <td>2024</td>
      <td>Reviewer, ICML 2024</td>
    </tr>
    <tr>
      <td>2022</td>
      <td>Reviewer, NAACL 2022</td>
    </tr>
    <tr>
      <td>2020</td>
      <td>Reviewer, EMNLP 2020</td>
    </tr>
    <tr>
      <td>2020</td>
      <td>Reviewer, ACL 2020</td>
    </tr>
  </tbody>
</table>

<h3 id="leadership--community-engagement">Leadership &amp; Community Engagement</h3>

<p><strong>2025 – present</strong> | <strong>SoE Dean’s Graduate Student Advisory Council (DGSAC)</strong>, Chair for Computer Science, Stanford University
Built first centralized database of fellowships, RA/CA, and internship opportunities across 9 departments with SoE leadership. Connected 30+ students with fellowships, 50+ with internships, and 40+ with RA placements in 2025-26.</p>

<p><strong>2021 – 2022</strong> | <strong>Georgia Tech Venture Capital Fund</strong>, Co-founder and Student Director
Collaborated with Georgia Tech president’s office and alumni association to establish first GT-backed VC fund. Created educational curriculum for teaching 40+ students. Raised an inaugural $10+ million early-stage fund.</p>

<p><strong>2020 – 2022</strong> | <strong>Georgia Tech Computer Science Outreach Club</strong>, Founding Member and Volunteer
Developed coding workshops and lectures to teach 50+ underprivileged youth from Atlanta-area high schools.</p>

<hr />

<h2 id="other-experience">Other Experience</h2>

<p><strong>2020</strong> | <strong>Research Analyst</strong>, Goldman Sachs, Global Investment Research (New York City, NY)
Used quantitative techniques and NLP tools for company valuation. Collaborated with traders and external clients.</p>

<hr />

<p><em>Last updated: April 2026</em></p>


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Replace the entire file contents with:

---
layout: default
---

<div class="page-header">
  <h1>Website Redesign Implementation Plan</h1>
  
</div>
<div class="page-header">
  <h1>Jon Saad-Falcon</h1>
  
</div>
<h1 id="jon-saad-falcon">Jon Saad-Falcon</h1>

<table>
  <tbody>
    <tr>
      <td>jonsaadfalcon@stanford.edu</td>
      <td>jonsaadfalcon.com</td>
      <td>Google Scholar</td>
    </tr>
  </tbody>
</table>

<p>Scaling Intelligence Lab and Hazy Research, Stanford University</p>

<hr />

<h2 id="education">Education</h2>

<p><strong>Ph.D.</strong>, Computer Science, Stanford University (2023 – present)
Advisors: Christopher Re and Azalia Mirhoseini</p>

<p><strong>M.B.A.</strong>, Stanford Graduate School of Business (2023 – present)</p>

<p><strong>B.S. – M.S.</strong>, Computer Science, Georgia Institute of Technology (2018 – 2022)
Advisor: Duen Horng (Polo) Chau
Minors: Mathematics and Linguistics</p>

<hr />

<h2 id="research-experience">Research Experience</h2>

<p><strong>2023 – present</strong> | <strong>PhD Researcher</strong>, Stanford University, Computer Science
Areas: language models, ML systems, intelligence efficiency, inference-time techniques.</p>

<table>
  <tbody>
    <tr>
      <td><strong>2026 – present</strong></td>
      <td><strong>Google Student Researcher</strong>, Google – TPU and Gemini teams</td>
    </tr>
  </tbody>
</table>

<p><strong>2023</strong> | <strong>Research Intern</strong>, Databricks, Office of the CTO (San Francisco, CA)
Research internship with Prof. Matei Zaharia. Built automated evaluation system for retrieval-augmented generation (RAG).</p>

<p><strong>2022 – 2023</strong> | <strong>Fulbright Scholar</strong>, Humboldt-Universitat zu Berlin (Germany)
Research collaboration with Prof. Ulf Leser. Developed AI-powered techniques for patient treatment design using EHRs.</p>

<p><strong>2021 – 2022</strong> | <strong>Predoctoral Young Investigator</strong>, Allen Institute for Artificial Intelligence (AI2) – Semantic Scholar
Mentors: Doug Downey and Daniel Weld. Designed efficiency techniques for caching and reusing sequence representations in language models.</p>

<p><strong>2021</strong> | <strong>Research Intern</strong>, Stanford University, Center for the Study of Language and Information (CSLI)
Research internship with Prof. Christopher Potts and Prof. Matei Zaharia. NSF-funded REU; built the LoTTE benchmark and contributed to ColBERTv2.</p>

<p><strong>2019 – 2022</strong> | <strong>Undergraduate Research Assistant</strong>, Georgia Institute of Technology
Advisors: Duen Horng (Polo) Chau and Diyi Yang. Projects in NLP, data visualization, and computational social science.</p>

<hr />

<h2 id="awards--honors">Awards &amp; Honors</h2>

<table>
  <tbody>
    <tr>
      <td><strong>2025</strong></td>
      <td>JP Morgan AI/ML Fellowship</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Stanford Graduate Fellowship</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Stanford EDGE Fellowship</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>GEM PhD Fellowship, National GEM Consortium</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Knight-Hennessy Scholarship, Finalist, Stanford University</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>Gates-Cambridge Scholarship, Bill &amp; Melinda Gates Foundation</td>
    </tr>
    <tr>
      <td><strong>2023</strong></td>
      <td>College of Engineering Fellowship, University of California, Berkeley</td>
    </tr>
    <tr>
      <td><strong>2022</strong></td>
      <td>Fulbright Scholarship, Research Award, U.S. State Department and German Federal Foreign Office</td>
    </tr>
    <tr>
      <td><strong>2022</strong></td>
      <td>Summer Venture in Management Program (SVMP), Harvard Business School</td>
    </tr>
    <tr>
      <td><strong>2021</strong></td>
      <td>Donald V. Jackson Fellowship, Georgia Tech</td>
    </tr>
    <tr>
      <td><strong>2021</strong></td>
      <td>Computer Science Research Mentorship Program, Google</td>
    </tr>
    <tr>
      <td><strong>2021</strong></td>
      <td>U.N. Millennium Fellowship, United Nations</td>
    </tr>
    <tr>
      <td><strong>2020</strong></td>
      <td>D.E. Shaw Nexus Fellowship</td>
    </tr>
    <tr>
      <td><strong>2020</strong></td>
      <td>President’s Undergraduate Research Award, Georgia Tech</td>
    </tr>
    <tr>
      <td><strong>2018</strong></td>
      <td>Stamps President’s Scholarship, Georgia Tech</td>
    </tr>
  </tbody>
</table>

<hr />

<h2 id="publications">Publications</h2>

<h3 id="preprints">Preprints</h3>

<p>P1. <strong>Saad-Falcon, Jon</strong> et al. <em>OpenJarvis: Personal AI, On Personal Devices.</em> 2026. Blog: https://scalingintelligence.stanford.edu/blogs/openjarvis/ Code: https://github.com/open-jarvis/OpenJarvis</p>

<p>P2. <strong>Saad-Falcon, Jon</strong>, Narayan, A., Akengin, O., Griffin, W., Shandilya, H., Lafuente, A., Goel, M., Joseph, R., Natarajan, S., Guha, E., Zhu, S., Athiwaratkun, B., Hennessy, J., Mirhoseini, A. &amp; Re, C. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> 2025. https://arxiv.org/abs/2511.07885</p>

<h3 id="peer-reviewed-conference-proceedings">Peer-reviewed Conference Proceedings</h3>

<p>C1. <strong>Saad-Falcon, Jon</strong>, Buchanan, E. K., Chen, M. F., Huang, T.-H., McLaughlin, B., Bhathal, T., Zhu, S., Athiwaratkun, B., Sala, F., Linderman, S., Mirhoseini, A. &amp; Re, C. <em>Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers.</em> NeurIPS 2025. https://arxiv.org/abs/2506.18203</p>

<p>C2. <strong>Saad-Falcon, Jon</strong>, Vivek, R., Berrios, W., Naik, N., Franklin, M., Vidgen, B., Singh, A., Kiela, D. &amp; Mehri, S. <em>LMUnit: Fine-grained Evaluation with Natural Language Unit Tests.</em> EMNLP 2025. https://arxiv.org/abs/2412.13091</p>

<p>C3. <strong>Saad-Falcon, Jon</strong>, Lafuente Gamarra, A., Natarajan, S., Maru, N., Todorov, H., Guha, E., Buchanan, E. K., Chen, M., Guha, N., Re, C. &amp; Mirhoseini, A. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> ICML 2025. https://arxiv.org/abs/2409.15254
Also: ICLR 2025, Scaling Self-Improving Foundation Models (SSI FM), <strong>Oral Presentation</strong>.</p>

<p>C4. <strong>Saad-Falcon, Jon</strong>, Fu, D. Y., Arora, S., Guha, N. &amp; Re, C. <em>Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT.</em> ICML 2024. https://arxiv.org/abs/2402.07440</p>

<p>C5. <strong>Saad-Falcon, Jon</strong>, Barrow, J., Siu, A., Nenkova, A., Yoon, S., Rossi, R. A. &amp; Dernoncourt, F. <em>PDFTriage: Question Answering over Long, Structured Documents.</em> EMNLP Industry 2024. https://aclanthology.org/2024.emnlp-industry.13.pdf</p>

<p>C6. <strong>Saad-Falcon, Jon</strong>, Khattab, O., Potts, C. &amp; Zaharia, M. <em>ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems.</em> NAACL 2024, <strong>Oral Presentation</strong>. https://arxiv.org/abs/2311.09476</p>

<p>C7. <strong>Saad-Falcon, Jon</strong>, Khattab, O., Santhanam, K., Florian, R., Roukos, S., Sultan, M. A., Sil, A., Zaharia, M. &amp; Potts, C. <em>UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers.</em> EMNLP 2023.</p>

<p>C8. <strong>Saad-Falcon, Jon</strong>, Singh, A., Soldaini, L., D’Arcy, M., Cohan, A. &amp; Downey, D. <em>Embedding Recycling for Language Models.</em> EACL 2023. https://arxiv.org/abs/2207.04993</p>

<p>C9. Santhanam*, K., <strong>Saad-Falcon*, Jon</strong>, Franz, M., Khattab, O., Sil, A., Florian, R., Sultan, M. A., Roukos, S., Zaharia, M. &amp; Potts, C. <em>Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking.</em> ACL Findings 2023.</p>

<p>C10. Lahav, D., <strong>Saad-Falcon, Jon</strong>, Kuehl, B., Johnson, S., Parasa, S., Shomron, N., Chau, D. H., Yang, D., Horvitz, E., Weld, D. S. &amp; Hope, T. <em>A Search Engine for Discovery of Scientific Challenges and Directions.</em> AAAI 2022, <strong>Oral Presentation</strong>. https://arxiv.org/abs/2108.13751</p>

<p>C11. Santhanam*, K., Khattab*, O., <strong>Saad-Falcon, Jon</strong>, Potts, C. &amp; Zaharia, M. <em>ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.</em> NAACL 2022. https://arxiv.org/abs/2112.01488</p>

<p>C12. Li, K., Yang, H., Upadhayay, A., Zhou, Z., <strong>Saad-Falcon, Jon</strong> &amp; Chau, D. H. <em>Argo Scholar: Interactive Visual Exploration of Literature in Browsers.</em> IEEE VIS 2021, <strong>Best Poster, Honorable Mention</strong>.</p>

<p>C13. Shaikh, O., <strong>Saad-Falcon, Jon</strong>, Wright, A. P., Das, N., Freitas, S., Asensio, O. I. &amp; Chau, D. H. <em>EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models.</em> CHI LBW 2021.</p>

<p>C14. Shaikh, O., Chen, J., <strong>Saad-Falcon, Jon</strong>, Chau, D. H. &amp; Yang, D. <em>Examining the Ordering of Rhetorical Strategies in Persuasive Requests.</em> EMNLP Findings 2020.</p>

<p>C15. <strong>Saad-Falcon, Jon</strong>, Shaikh, O., Wang, Z. J., Wright, A. P., Richardson, S. &amp; Chau, D. H. <em>Mapping Researchers with PeopleMap.</em> IEEE VIS 2020, <strong>Best Poster, Honorable Mention</strong>. https://arxiv.org/abs/2009.00091</p>

<hr />

<h2 id="invited-talks">Invited Talks</h2>

<p>T1. <strong>Saad-Falcon, Jon</strong>. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> EE292P: Atoms, Bits, and National Interest (ABNI), Stanford University. Feb. 2026.
T2. <strong>Saad-Falcon, Jon</strong>. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> Two Sigma. Jan. 2026.
T3. <strong>Saad-Falcon, Jon</strong>. <em>Intelligence per Watt: Measuring Intelligence Efficiency of Local AI.</em> MBZUAI Speech and NLP Symposium. Jan. 2026.
T4. <strong>Saad-Falcon, Jon</strong>. <em>Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers.</em> Measuring Intelligence Summit at PyTorch Conference. Oct. 2025.
T5. <strong>Saad-Falcon, Jon</strong>. <em>Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers.</em> Together AI. Jul. 2025.
T6. <strong>Saad-Falcon, Jon</strong>. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> LLMs Meet Data Processing Workshop, UC Berkeley. May 2025.
T7. <strong>Saad-Falcon, Jon</strong>. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> Databricks. Feb. 2025.
T8. <strong>Saad-Falcon, Jon</strong>. <em>Archon: An Architecture Search Framework for Inference-Time Techniques.</em> Contextual AI. Oct. 2024.</p>

<hr />

<h2 id="mentorship">Mentorship</h2>

<h3 id="current-mentees">Current Mentees</h3>

<table>
  <tbody>
    <tr>
      <td>2024 – present</td>
      <td>Hangoo Kang, Hannah Gao, Harsh Singh, Matthew Hart, Orhun Akengin, Tanvir Bhathal, Tarun Suresh</td>
    </tr>
  </tbody>
</table>

<h3 id="past-mentees">Past Mentees</h3>

<p>Adrian Lafuente Gamarra (now Salesforce), Brendan McLaughlin (now Reflection AI), Herumb Shandilya (now Mixed Bread), Robby Manihani (now Pace), Wes Griffin (Stanford)</p>

<hr />

<h2 id="teaching">Teaching</h2>

<table>
  <tbody>
    <tr>
      <td><strong>Autumn 2025</strong></td>
      <td>Teaching Assistant, <strong>CS 224V: Conversational Virtual Assistants with Deep Learning</strong>, Stanford University</td>
    </tr>
  </tbody>
</table>

<table>
  <tbody>
    <tr>
      <td><strong>Winter 2025</strong></td>
      <td>Teaching Assistant, <strong>CS329A: Self-Improving Agents</strong>, Stanford University</td>
    </tr>
  </tbody>
</table>

<hr />

<h2 id="service--community">Service &amp; Community</h2>

<h3 id="academic-service">Academic Service</h3>

<table>
  <tbody>
    <tr>
      <td>2025</td>
      <td>Reviewer, NeurIPS 2025</td>
    </tr>
    <tr>
      <td>2024</td>
      <td>Reviewer, EMNLP 2024</td>
    </tr>
    <tr>
      <td>2024</td>
      <td>Reviewer, ICML 2024</td>
    </tr>
    <tr>
      <td>2022</td>
      <td>Reviewer, NAACL 2022</td>
    </tr>
    <tr>
      <td>2020</td>
      <td>Reviewer, EMNLP 2020</td>
    </tr>
    <tr>
      <td>2020</td>
      <td>Reviewer, ACL 2020</td>
    </tr>
  </tbody>
</table>

<h3 id="leadership--community-engagement">Leadership &amp; Community Engagement</h3>

<p><strong>2025 – present</strong> | <strong>SoE Dean’s Graduate Student Advisory Council (DGSAC)</strong>, Chair for Computer Science, Stanford University
Built first centralized database of fellowships, RA/CA, and internship opportunities across 9 departments with SoE leadership. Connected 30+ students with fellowships, 50+ with internships, and 40+ with RA placements in 2025-26.</p>

<p><strong>2021 – 2022</strong> | <strong>Georgia Tech Venture Capital Fund</strong>, Co-founder and Student Director
Collaborated with Georgia Tech president’s office and alumni association to establish first GT-backed VC fund. Created educational curriculum for teaching 40+ students. Raised an inaugural $10+ million early-stage fund.</p>

<p><strong>2020 – 2022</strong> | <strong>Georgia Tech Computer Science Outreach Club</strong>, Founding Member and Volunteer
Developed coding workshops and lectures to teach 50+ underprivileged youth from Atlanta-area high schools.</p>

<hr />

<h2 id="other-experience">Other Experience</h2>

<p><strong>2020</strong> | <strong>Research Analyst</strong>, Goldman Sachs, Global Investment Research (New York City, NY)
Used quantitative techniques and NLP tools for company valuation. Collaborated with traders and external clients.</p>

<hr />

<p><em>Last updated: April 2026</em></p>



git add _layouts/default.html _layouts/home.html _layouts/page.html
git commit -m "feat: update layouts for new design system"

Task 5: Data Files

Create YAML data files for mentees and talks.

Files:

current:
  - name: Hangoo Kang
  - name: Hannah Gao
  - name: Harsh Singh
  - name: Matthew Hart
  - name: Orhun Akengin
  - name: Tanvir Bhathal
  - name: Tarun Suresh

past:
  - name: Adrian Lafuente Gamarra
    destination: Salesforce
  - name: Brendan McLaughlin
    destination: Reflection AI
  - name: Herumb Shandilya
    destination: Mixed Bread
  - name: Robby Manihani
    destination: Pace
  - name: Wes Griffin
    destination: Stanford

- title: "Intelligence Efficiency: Measuring and Optimizing AI Performance per Watt"
  venues:
    - name: MBZUAI Speech and NLP Symposium
      date: "Jan. 2026"
    - name: Measuring Intelligence Summit at PyTorch Conference
      date: "Oct. 2025"

- title: "Archon and Inference-Time Techniques"
  venues:
    - name: Together AI
      date: "Jul. 2025"
    - name: LLMs Meet Data Processing Workshop, UC Berkeley
      date: "May 2025"

- title: "Automated Evaluation for Retrieval-Augmented Generation"
  venues:
    - name: Contextual AI
      date: "Oct. 2024"
    - name: Databricks
      date: "Feb. 2024"

git add _data/mentees.yaml _data/talks.yaml
git commit -m "feat: add mentees and talks data files"

Task 6: Homepage Content

Rewrite index.md with the full homepage: hero, selected publications, invited talks, fellowships & awards.

Files:

Replace the entire file contents with:

---
layout: home
title: Home
---

<div class="hero">
  <div class="hero-left">
    <img class="hero-photo" src="/images/jon.png" alt="Jon Saad-Falcon">
    <div class="hero-role">
      Computer Science Ph.D.<br>& MBA Candidate<br>Stanford University
    </div>
    <div class="social-icons">
      <a class="social-icon" href="https://scholar.google.com/citations?user=zCVmjboAAAAJ&hl=en" title="Google Scholar"><i class="ai ai-google-scholar"></i></a>
      <a class="social-icon" href="https://www.linkedin.com/in/jonsaadfalcon" title="LinkedIn"><i class="fa-brands fa-linkedin-in"></i></a>
      <a class="social-icon" href="https://twitter.com/JonSaadFalcon" title="Twitter / X"><i class="fa-brands fa-x-twitter"></i></a>
      <a class="social-icon" href="https://github.com/jonsaadfalcon" title="GitHub"><i class="fa-brands fa-github"></i></a>
      <a class="social-icon" href="mailto:jonsaadfalcon@stanford.edu" title="Email"><i class="fa-solid fa-envelope"></i></a>
      <a class="social-icon" href="/cv.pdf" title="CV"><i class="fa-solid fa-file-lines"></i></a>
    </div>
    <div class="hero-people">
      <div class="hero-people-label">Advisors</div>
      <div class="hero-people-text"><a href="https://www.azaliamirhoseini.com/">Azalia Mirhoseini</a>, <a href="https://cs.stanford.edu/~chrismre/">Christopher R&eacute;</a></div>
      <div class="hero-people-label">Current Mentees</div>
      <div class="hero-people-text">Hangoo Kang, Harsh Singh, Matthew Hart, Orhun Akengin, Tanvir Bhathal, Tarun Suresh</div>
      <div class="hero-people-label">Past Mentees</div>
      <div class="hero-people-text">Adrian Lafuente Gamarra <span class="dest">(Salesforce)</span>, Brendan McLaughlin <span class="dest">(Reflection AI)</span>, Herumb Shandilya <span class="dest">(Mixed Bread)</span>, Lichu Acuña <span class="dest">(Stealth Startup)</span>, Robby Manihani <span class="dest">(Pace)</span>, Wes Griffin <span class="dest">(Stanford)</span></div>
    </div>
  </div>

  <div class="hero-text">
    <h1>Jon Saad-Falcon</h1>

    <div class="hero-bio">
      I am a joint Computer Science Ph.D. and MBA student at Stanford University, advised by <a href="https://www.azaliamirhoseini.com/">Azalia Mirhoseini</a> (<a href="https://scalingintelligence.stanford.edu/">Scaling Intelligence Lab</a>) and <a href="https://cs.stanford.edu/~chrismre/">Christopher R&eacute;</a> (<a href="https://hazyresearch.stanford.edu/">Hazy Research</a>). I am also a Google Student Researcher on the TPU and Gemini teams. My research lies at the intersection of language models and ML systems, with a focus on <strong>intelligence efficiency</strong> for LM training and inference. I work on <strong>commoditizing intelligence</strong>: making AI capabilities dramatically cheaper and more accessible through efficient use of hardware, power, and open-source models, so that language models can be deployed more broadly across society. This agenda spans LMs, ML systems, electrical engineering, and economics, and is anchored by the <a href="https://www.intelligence-per-watt.ai/">Intelligence per Watt</a> project.
    </div>

    <div class="hero-bio">
      My doctoral studies are supported by the <a href="https://vpge.stanford.edu/fellowships-funding/sgf">Stanford Graduate Fellowship</a>, <a href="https://www.jpmorganchase.com/about/technology/research/ai">JP Morgan AI/ML Fellowship</a>, <a href="https://vpge.stanford.edu/fellowships-funding/EDGE">Stanford EDGE Fellowship</a>, and <a href="https://www.gemfellowship.org/gem-fellowship-program/">GEM Fellowship</a>. I am a recipient of the <a href="https://us.fulbrightonline.org/">Fulbright Scholarship</a> (Research Award, Germany) and <a href="https://www.gatescambridge.org/">Gates-Cambridge Scholarship</a> for post-graduate studies. Previously, I was a Predoctoral Young Investigator at the <a href="https://allenai.org/">Allen Institute for AI</a> and completed the joint B.S./M.S. in Computer Science at <a href="https://www.scs.gatech.edu/">Georgia Tech</a> as a <a href="https://stampsps.gatech.edu/">Stamps President's Scholar</a>.
    </div>

    <div class="hero-supporters">
      My research is generously supported by Stanford HAI, Laude Institute, Lambda Labs, Ollama, and IBM Research.
    </div>
  </div>
</div>

<!-- Announcement bubble (uncomment when needed)
<div class="announcement-bubble">
  Your announcement here.
</div>
-->

<!-- News timeline (uncomment when needed)
<div class="section">
  <h2 class="section-title">News</h2>
  <ul class="news-list">
    <li class="news-item">
      <span class="news-date">Jun 2025</span>
      <span class="news-text">Paper accepted.</span>
    </li>
  </ul>
</div>
-->

<div class="section">
  <h2 class="section-title">Selected Publications</h2>
  <ul class="pub-list">
    
    
      
    
      
    
      
    
      
    
      
    
      
    
      
    
      
    
      
      <li class="pub-item">
        <div class="pub-title">OpenJarvis: Personal AI, On Personal Devices</div>
        <div class="pub-authors">
          <span class="me">Jon Saad-Falcon</span>, Avanika Narayan, Hakki Orhun Akengin, Herumb Shandilya, Robby Manihani, Gabriel Bo, John Hennessy, Azalia Mirhoseini, Christopher Ré
        </div>
        <div class="pub-venue">Preprint 2026</div>
        <div class="pub-links">
          <a class="pub-link" href="https://arxiv.org/abs/2605.17172">paper</a>
          <a class="pub-link" href="https://github.com/open-jarvis/OpenJarvis">code</a>
          
          
        </div>
      </li>
      
    
      
      <li class="pub-item">
        <div class="pub-title">Intelligence per Watt: Measuring Intelligence Efficiency of Local AI</div>
        <div class="pub-authors">
          <span class="me">Jon Saad-Falcon</span>, Avanika Narayan, Hakki Orhun Akengin, J. Wes Griffin, Herumb Shandilya, Adrian Gamarra Lafuente, Medhya Goel, Rebecca Joseph, Shlok Natarajan, Etash Kumar Guha, Shang Zhu, Ben Athiwaratkun, John Hennessy, Azalia Mirhoseini, Christopher Ré
        </div>
        <div class="pub-venue">Preprint 2025</div>
        <div class="pub-links">
          <a class="pub-link" href="https://arxiv.org/abs/2511.07885">paper</a>
          <a class="pub-link" href="https://github.com/HazyResearch/intelligence-per-watt">code</a>
          
          
        </div>
      </li>
      
    
      
    
      
    
      
      <li class="pub-item">
        <div class="pub-title">Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers</div>
        <div class="pub-authors">
          <span class="me">Jon Saad-Falcon</span>, E. Kelly Buchanan, Mayee F. Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott Linderman, Azalia Mirhoseini, Christopher Ré
        </div>
        <div class="pub-venue">NeurIPS 2025</div>
        <div class="pub-links">
          <a class="pub-link" href="https://arxiv.org/abs/2506.18203">paper</a>
          <a class="pub-link" href="https://github.com/HazyResearch/scaling-verification">code</a>
          
          
        </div>
      </li>
      
    
      
      <li class="pub-item">
        <div class="pub-title">Archon: An Architecture Search Framework for Inference-Time Techniques</div>
        <div class="pub-authors">
          <span class="me">Jon Saad-Falcon</span>, Adrian Lafuente Gamarra, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Guha, E. Kelly Buchanan, Mayee Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini
        </div>
        <div class="pub-venue">ICML 2025</div>
        <div class="pub-links">
          <a class="pub-link" href="https://arxiv.org/abs/2409.15254">paper</a>
          <a class="pub-link" href="https://github.com/ScalingIntelligence/Archon">code</a>
          
          
        </div>
      </li>
      
    
      
      <li class="pub-item">
        <div class="pub-title">ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems</div>
        <div class="pub-authors">
          <span class="me">Jon Saad-Falcon</span>, Omar Khattab, Christopher Potts, Matei Zaharia
        </div>
        <div class="pub-venue">NAACL 2024 <span class="highlight">Oral Presentation</span></div>
        <div class="pub-links">
          <a class="pub-link" href="https://arxiv.org/abs/2311.09476">paper</a>
          <a class="pub-link" href="https://github.com/stanford-futuredata/ARES">code</a>
          
          
        </div>
      </li>
      
    
      
    
      
      <li class="pub-item">
        <div class="pub-title">LMUnit: Fine-grained Evaluation with Natural Language Unit Tests</div>
        <div class="pub-authors">
          <span class="me">Jon Saad-Falcon</span>, Rajan Vivek, William Berrios, Nandita Shankar Naik, Matija Franklin, Bertie Vidgen, Amanpreet Singh, Douwe Kiela, Shikib Mehri
        </div>
        <div class="pub-venue">EMNLP 2025</div>
        <div class="pub-links">
          <a class="pub-link" href="https://arxiv.org/abs/2412.13091">paper</a>
          
          
          
        </div>
      </li>
      
    
      
    
      
    
      
    
  </ul>
  <div style="margin-top: 14px;"><a href="/publications" style="font-size: 0.88rem;">View all publications &rarr;</a></div>
</div>

<div class="section">
  <h2 class="section-title">Invited Talks</h2>
  <ul class="talk-list">
    
    <li class="talk-item">
      <div class="talk-title">&ldquo;OpenJarvis: Personal AI, On Personal Devices&rdquo;</div>
      <ul class="talk-venues">
        
        <li class="talk-venue">AMD Advancing AI Day: <span class="talk-date">Jul. 2026.</span></li>
        
        <li class="talk-venue">Y Combinator (YC) Paper Club: <span class="talk-date">Jul. 2026.</span></li>
        
      </ul>
    </li>
    
    <li class="talk-item">
      <div class="talk-title">&ldquo;Intelligence per Watt: Measuring Intelligence Efficiency of Local AI&rdquo;</div>
      <ul class="talk-venues">
        
        <li class="talk-venue">Two Sigma: <span class="talk-date">Feb. 2026.</span></li>
        
        <li class="talk-venue">EE292P: Atoms, Bits, and National Interest (ABNI), Stanford University: <span class="talk-date">Feb. 2026.</span></li>
        
        <li class="talk-venue">MBZUAI Speech and NLP Symposium: <span class="talk-date">Jan. 2026.</span></li>
        
      </ul>
    </li>
    
    <li class="talk-item">
      <div class="talk-title">&ldquo;Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers&rdquo;</div>
      <ul class="talk-venues">
        
        <li class="talk-venue">Measuring Intelligence Summit at PyTorch Conference: <span class="talk-date">Oct. 2025.</span></li>
        
        <li class="talk-venue">Together AI: <span class="talk-date">Jul. 2025.</span></li>
        
      </ul>
    </li>
    
    <li class="talk-item">
      <div class="talk-title">&ldquo;Archon: An Architecture Search Framework for Inference-Time Techniques&rdquo;</div>
      <ul class="talk-venues">
        
        <li class="talk-venue">LLMs Meet Data Processing Workshop, UC Berkeley: <span class="talk-date">May 2025.</span></li>
        
        <li class="talk-venue">Databricks: <span class="talk-date">Feb. 2025.</span></li>
        
        <li class="talk-venue">Contextual AI: <span class="talk-date">Oct. 2024.</span></li>
        
      </ul>
    </li>
    
  </ul>
</div>

<div class="section">
  <h2 class="section-title">Fellowships &amp; Awards</h2>
  <ul class="award-list">
    
    <li class="award-item">
      <span class="award-name"><span class="award-org">JP Morgan AI/ML Fellowship</span></span>
      <span class="award-year">2025</span>
    </li>
    
    <li class="award-item">
      <span class="award-name"><span class="award-org">Stanford Graduate Fellowship</span></span>
      <span class="award-year">2023</span>
    </li>
    
    <li class="award-item">
      <span class="award-name"><span class="award-org">Stanford EDGE Fellowship</span></span>
      <span class="award-year">2023</span>
    </li>
    
    <li class="award-item">
      <span class="award-name"><span class="award-org">GEM PhD Fellowship</span></span>
      <span class="award-year">2023</span>
    </li>
    
    <li class="award-item">
      <span class="award-name"><span class="award-org">Knight-Hennessy Scholarship, Finalist</span></span>
      <span class="award-year">2023</span>
    </li>
    
    <li class="award-item">
      <span class="award-name"><span class="award-org">Gates-Cambridge Scholarship</span></span>
      <span class="award-year">2023</span>
    </li>
    
    <li class="award-item">
      <span class="award-name"><span class="award-org">Fulbright Scholarship</span></span>
      <span class="award-year">2022</span>
    </li>
    
    <li class="award-item">
      <span class="award-name"><span class="award-org">Summer Venture in Management Program</span></span>
      <span class="award-year">2022</span>
    </li>
    
    <li class="award-item">
      <span class="award-name"><span class="award-org">U.N. Millennium Fellowship</span></span>
      <span class="award-year">2021</span>
    </li>
    
    <li class="award-item">
      <span class="award-name"><span class="award-org">D.E. Shaw Nexus Fellowship</span></span>
      <span class="award-year">2020</span>
    </li>
    
    <li class="award-item">
      <span class="award-name"><span class="award-org">Stamps President's Scholarship</span></span>
      <span class="award-year">2018</span>
    </li>
    
  </ul>
</div>

Replace the entire file contents with the new reverse-chronological ordering:

- name: Stanford Graduate Fellowship
  year: 2023

- name: Stanford EDGE Fellowship
  year: 2023

- name: "JP Morgan AI/ML Fellowship"
  year: 2023

- name: "GEM PhD Fellowship, National GEM Consortium"
  year: 2023

- name: "Knight-Hennessy Scholarship, Finalist, Stanford University"
  year: 2023

- name: "Gates-Cambridge Scholarship, Bill & Melinda Gates Foundation"
  year: 2023

- name: "Fulbright Scholarship, Research Award, Germany"
  year: 2022

- name: "Summer Venture in Management Program, Harvard Business School"
  year: 2022

- name: "U.N. Millennium Fellowship, United Nations"
  year: 2021

- name: "D.E. Shaw Nexus Fellowship"
  year: 2020

- name: "Stamps President's Scholarship, Georgia Tech"
  year: "2018 - 2022"

Run: cd /Users/jonsaadfalcon/Documents/PersonalWebsite/jonsaadfalcon.github.io && bundle exec jekyll serve --livereload

Open http://localhost:4000 in a browser. Verify:

git add index.md _data/awards.yaml
git commit -m "feat: rebuild homepage with hero, publications, talks, and awards"

Task 7: Publications and Blog Pages

Create the Publications and Blog subpages.

Files:

---
layout: page
title: Publications
subtitle: Full list of research publications, ordered by year.
---




<h3 class="year-heading">2026</h3>
<ul class="pub-list">
  
  
  <li class="pub-item">
    <div class="pub-title">China's AI Heist</div>
    <div class="pub-authors">
      Jared Dunnmon, Avanika Narayan, <span class="me">Jon Saad-Falcon</span>
    </div>
    <div class="pub-venue">Foreign Affairs 2026</div>
    <div class="pub-links">
      <a class="pub-link" href="https://www.foreignaffairs.com/china/chinas-ai-heist">paper</a>
      
      
      
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">TRACE: Capability-Targeted Agentic Training</div>
    <div class="pub-authors">
      Hangoo Kang, Tarun Suresh, <span class="me">Jon Saad-Falcon</span>, Azalia Mirhoseini
    </div>
    <div class="pub-venue">Preprint 2026</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2604.05336">paper</a>
      <a class="pub-link" href="https://github.com/ScalingIntelligence/TRACE">code</a>
      
      
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">OpenJarvis: Personal AI, On Personal Devices</div>
    <div class="pub-authors">
      <span class="me">Jon Saad-Falcon</span>, Avanika Narayan, Hakki Orhun Akengin, Herumb Shandilya, Robby Manihani, Gabriel Bo, John Hennessy, Azalia Mirhoseini, Christopher Ré
    </div>
    <div class="pub-venue">Preprint 2026</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2605.17172">paper</a>
      <a class="pub-link" href="https://github.com/open-jarvis/OpenJarvis">code</a>
      
      
    </div>
  </li>
  
</ul>

<h3 class="year-heading">2025</h3>
<ul class="pub-list">
  
  
  <li class="pub-item">
    <div class="pub-title">Intelligence per Watt: Measuring Intelligence Efficiency of Local AI</div>
    <div class="pub-authors">
      <span class="me">Jon Saad-Falcon</span>, Avanika Narayan, Hakki Orhun Akengin, J. Wes Griffin, Herumb Shandilya, Adrian Gamarra Lafuente, Medhya Goel, Rebecca Joseph, Shlok Natarajan, Etash Kumar Guha, Shang Zhu, Ben Athiwaratkun, John Hennessy, Azalia Mirhoseini, Christopher Ré
    </div>
    <div class="pub-venue">Preprint 2025</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2511.07885">paper</a>
      <a class="pub-link" href="https://github.com/HazyResearch/intelligence-per-watt">code</a>
      
      
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">Weaver: Shrinking the Generation-Verification Gap with Weak Verifiers</div>
    <div class="pub-authors">
      <span class="me">Jon Saad-Falcon</span>, E. Kelly Buchanan, Mayee F. Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott Linderman, Azalia Mirhoseini, Christopher Ré
    </div>
    <div class="pub-venue">NeurIPS 2025</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2506.18203">paper</a>
      <a class="pub-link" href="https://github.com/HazyResearch/scaling-verification">code</a>
      
      
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">LMUnit: Fine-grained Evaluation with Natural Language Unit Tests</div>
    <div class="pub-authors">
      <span class="me">Jon Saad-Falcon</span>, Rajan Vivek, William Berrios, Nandita Shankar Naik, Matija Franklin, Bertie Vidgen, Amanpreet Singh, Douwe Kiela, Shikib Mehri
    </div>
    <div class="pub-venue">EMNLP 2025</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2412.13091">paper</a>
      
      
      
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">Archon: An Architecture Search Framework for Inference-Time Techniques</div>
    <div class="pub-authors">
      <span class="me">Jon Saad-Falcon</span>, Adrian Lafuente Gamarra, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Guha, E. Kelly Buchanan, Mayee Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini
    </div>
    <div class="pub-venue">ICML 2025</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2409.15254">paper</a>
      <a class="pub-link" href="https://github.com/ScalingIntelligence/Archon">code</a>
      
      
    </div>
  </li>
  
</ul>

<h3 class="year-heading">2024</h3>
<ul class="pub-list">
  
  
  <li class="pub-item">
    <div class="pub-title">PDFTriage: Question Answering over Long, Structured Documents</div>
    <div class="pub-authors">
      <span class="me">Jon Saad-Falcon</span>, Joe Barrow, Alexa Siu, Ani Nenkova, Seunghyun Yoon, Ryan A. Rossi, Franck Dernoncourt
    </div>
    <div class="pub-venue">EMNLP Industry 2024</div>
    <div class="pub-links">
      <a class="pub-link" href="https://aclanthology.org/2024.emnlp-industry.13.pdf">paper</a>
      <a class="pub-link" href="https://github.com/adobe-research/pdftriage">code</a>
      
      
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT</div>
    <div class="pub-authors">
      <span class="me">Jon Saad-Falcon</span>, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré
    </div>
    <div class="pub-venue">ICML 2024</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2402.07440">paper</a>
      <a class="pub-link" href="https://github.com/HazyResearch/m2">code</a>
      
      
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems</div>
    <div class="pub-authors">
      <span class="me">Jon Saad-Falcon</span>, Omar Khattab, Christopher Potts, Matei Zaharia
    </div>
    <div class="pub-venue">NAACL 2024 <span class="highlight">Oral Presentation</span></div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2311.09476">paper</a>
      <a class="pub-link" href="https://github.com/stanford-futuredata/ARES">code</a>
      
      
    </div>
  </li>
  
</ul>

<h3 class="year-heading">2023</h3>
<ul class="pub-list">
  
  
  <li class="pub-item">
    <div class="pub-title">UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers</div>
    <div class="pub-authors">
      <span class="me">Jon Saad-Falcon</span>, Omar Khattab, Keshav Santhanam, Radu Florian, Martin Franz, Salim Roukos, Avirup Sil, Md Arafat Sultan, Christopher Potts
    </div>
    <div class="pub-venue">EMNLP 2023</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2303.00807">paper</a>
      <a class="pub-link" href="https://github.com/primeqa/primeqa">code</a>
      
      
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking</div>
    <div class="pub-authors">
      Keshav Santhanam*, Jon Saad-Falcon*, Martin Franz, Omar Khattab, Avirup Sil, Radu Florian, Md Arafat Sulton, Salim Roukos, Matei Zaharia, Christopher Potts
    </div>
    <div class="pub-venue">ACL Findings 2023</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2212.01340">paper</a>
      <a class="pub-link" href="https://github.com/primeqa/primeqa">code</a>
      
      
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">Embedding Recycling for Language Models</div>
    <div class="pub-authors">
      <span class="me">Jon Saad-Falcon</span>, Amanpreet Singh, Luca Soldaini, Michael D'Arcy, Arman Cohan, Doug Downey
    </div>
    <div class="pub-venue">EACL 2023</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2207.04993">paper</a>
      <a class="pub-link" href="https://github.com/allenai/EmbeddingRecycling">code</a>
      
      
    </div>
  </li>
  
</ul>

<h3 class="year-heading">2022</h3>
<ul class="pub-list">
  
  
  <li class="pub-item">
    <div class="pub-title">ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction</div>
    <div class="pub-authors">
      Keshav Santhanam*, Omar Khattab*, <span class="me">Jon Saad-Falcon</span>, Christopher Potts, Matei Zaharia
    </div>
    <div class="pub-venue">2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics 2022</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2112.01488">paper</a>
      <a class="pub-link" href="https://github.com/stanford-futuredata/ColBERT">code</a>
      
      
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">A Search Engine for Discovery of Scientific Challenges and Directions</div>
    <div class="pub-authors">
      Dan Lahav, <span class="me">Jon Saad-Falcon</span>, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope
    </div>
    <div class="pub-venue">AAAI Conference on Artificial Intelligence 2022 <span class="highlight">Oral Presentation</span></div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2108.13751">paper</a>
      <a class="pub-link" href="https://github.com/Dan-La/scientific-challenges-and-directions">code</a>
      <a class="pub-link" href="https://challenges.apps.allenai.org">demo</a>
      
    </div>
  </li>
  
</ul>

<h3 class="year-heading">2021</h3>
<ul class="pub-list">
  
  
  <li class="pub-item">
    <div class="pub-title">Argo Scholar: Interactive Visual Exploration of Literature in Browsers</div>
    <div class="pub-authors">
      Kevin Li, Haoyang Yang, Anish Upadhayay, Zhiyan Zhou, <span class="me">Jon Saad-Falcon</span>, Duen Horng (Polo) Chau
    </div>
    <div class="pub-venue">IEEE Visualization Conference 2021 <span class="highlight">Best Poster, Honorable Mention</span></div>
    <div class="pub-links">
      <a class="pub-link" href="https://poloclub.github.io/papers/21-vis-argoscholar.pdf">paper</a>
      
      
      <a class="pub-link" href="https://www.youtube.com/watch?v=-9Q5e1hmvCI">video</a>
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">Large-Scale Analysis of Career Transitions: The Impact of Human Capital, Job History, and Language Factors</div>
    <div class="pub-authors">
      Austin P Wright, Caleb Ziems, Haekyu Park, <span class="me">Jon Saad-Falcon</span>, Duen Horng (Polo) Chau, Diyi Yang, Maria Tomprou
    </div>
    <div class="pub-venue">Pre-print 2021</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2106.11846">paper</a>
      
      
      
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models</div>
    <div class="pub-authors">
      Omar Shaikh, <span class="me">Jon Saad-Falcon</span>, Austin P Wright, Nilaksh Das, Scott Freitas, Omar Isaac Asensio, Duen Horng (Polo) Chau
    </div>
    <div class="pub-venue">CHI '21 Extended Abstracts 2021</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2103.16435">paper</a>
      <a class="pub-link" href="https://github.com/poloclub/EnergyVis">code</a>
      
      <a class="pub-link" href="https://youtu.be/QuVsnS9p1Qc">video</a>
    </div>
  </li>
  
</ul>

<h3 class="year-heading">2020</h3>
<ul class="pub-list">
  
  
  <li class="pub-item">
    <div class="pub-title">Examining the Ordering of Rhetorical Strategies in Persuasive Requests</div>
    <div class="pub-authors">
      Omar Shaikh, Jiaao Chen, <span class="me">Jon Saad-Falcon</span>, Duen Horng (Polo) Chau, Diyi Yang
    </div>
    <div class="pub-venue">Findings of the Association for Computational Linguistics: Empirical Methods in Natural Language Processing 2020</div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2010.04625">paper</a>
      <a class="pub-link" href="https://github.com/GT-SALT/persuasive-orderings">code</a>
      
      <a class="pub-link" href="https://youtu.be/O-CTpLLb4gA">video</a>
    </div>
  </li>
  
  <li class="pub-item">
    <div class="pub-title">Mapping Researchers with PeopleMap</div>
    <div class="pub-authors">
      <span class="me">Jon Saad-Falcon</span>, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng (Polo) Chau
    </div>
    <div class="pub-venue">IEEE Visualization Conference 2020 <span class="highlight">Best Poster, Honorable Mention</span></div>
    <div class="pub-links">
      <a class="pub-link" href="https://arxiv.org/abs/2009.00091">paper</a>
      <a class="pub-link" href="https://github.com/poloclub/people-map">code</a>
      <a class="pub-link" href="https://poloclub.github.io/people-map/ml/">demo</a>
      
    </div>
  </li>
  
</ul>


---
layout: page
title: Blog
subtitle: Thoughts on research, AI, and building things.
---




<div style="padding: 40px 0; text-align: center; color: #888; font-size: 0.92rem;">
  <i class="fa-solid fa-pencil" style="font-size: 1.5rem; margin-bottom: 12px; display: block; color: rgba(46, 125, 111, 0.3);"></i>
  Posts coming soon.
</div>

Run: cd /Users/jonsaadfalcon/Documents/PersonalWebsite/jonsaadfalcon.github.io && bundle exec jekyll serve --livereload

Open http://localhost:4000/publications in browser. Verify papers are grouped by year. Open http://localhost:4000/blog in browser. Verify empty state shows. Click CV in nav. Verify it opens the PDF in a new tab.

git add publications.md blog.md
git commit -m "feat: add publications and blog pages"

Task 8: Cleanup and Final Verification

Remove unused SCSS files and old includes, verify responsive behavior.

Files:

Run: cd /Users/jonsaadfalcon/Documents/PersonalWebsite/jonsaadfalcon.github.io && bundle exec jekyll serve --livereload

Check all pages at http://localhost:4000:

Append to .gitignore (create if it doesn’t exist):

.superpowers/

git add -A
git commit -m "chore: cleanup and add .gitignore for superpowers directory"