About Me: I am a joint Computer Science Ph.D. and MBA student at Stanford University, advised by Azalia Mirhoseini (Scaling Intelligence Lab) and Christopher Ré (Hazy Research). I am affiliated with the Stanford NLP Group and the Stanford AI Lab (SAIL). I am also a Google Student Researcher with Sheng Li on the TPU and Gemini teams.

My research lies at the intersection of language models and ML systems. Most recently, I've studied the intelligence efficiency of LM systems, with the goal of commoditizing intelligence through increasingly efficient open-source LMs and hardware accelerators. By reducing the energy, compute, and capital required for deploying LMs at scale, we hope to make LM systems more broadly utilized around the world. Our agenda spans foundation models, ML systems, electrical engineering, and economics, and is anchored by the Intelligence per Watt project.

My doctoral studies are supported by the Stanford Graduate Fellowship, JP Morgan AI/ML Fellowship, Stanford EDGE Fellowship, and GEM Fellowship. I am a recipient of the Fulbright Scholarship (Research Award, Germany) and Gates-Cambridge Scholarship at the University of Cambridge (Trinity College) for post-graduate studies. Previously, I was a Predoctoral Young Investigator (PYI) at the Allen Institute for AI (AI2) and completed the joint B.S./M.S. in Computer Science at Georgia Tech as a Stamps President's Scholar.