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Resume (English only)
Academic Achievements
Published multiple papers on medical artificial intelligence, including 'Advancing Conversational Diagnostic AI with Multimodal Reasoning' and 'Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence'. His research work AMIE was published in Nature and used as a diagnostic conversational LLM that surpassed Primary Care Physicians in conversational quality & diagnostic accuracy.
Research Experience
Worked at OpenAI and Google DeepMind, involved in several projects related to medical artificial intelligence.
Education
Received PhD and MS in Electrical Engineering from Stanford in 2023 and 2019, and BS in Computer Engineering from Georgia Tech in 2017. At Stanford, I was advised by Daniel Rubin and Chris Ré.
Background
Currently a Member of Technical Staff at OpenAI. Previously, a Research Scientist at Google DeepMind. My current research focuses on accelerating biomedical intelligence.