My research is driven by a fundamental passion for building reliable artificial intelligence (AI) technologies for medical decision making. I approach problems in clinical medicine with a computational lens, developing AI algorithms and datasets across computer vision, natural language processing, and structured data that can drive AI technologies to support medical decision making.
My research has been published in 28 peer-reviewed publications in both scientific journals (Nature Medicine) and AI conferences (AAAI), receiving 7,100+ citations. My work has been covered by media outlets including NPR, The Washington Post, and WIRED. I founded the AI for Healthcare Bootcamp at Stanford, where I have closely worked with and mentored 115 Stanford students and collaborated with 18 faculty members on various research projects. I have received the NIH NHLBI BioData Catalyst Fellowship for 2020-2021. I write a weekly AI+Medicine research newsletter with Dr. Eric Topol called Doctor Penguin which has 4,000+ readers, and co-host a podcast called The AI Health Podcast. I designed and instructed the Coursera course series on AI for Medicine, now with 40,000+ students.
My PhD was advised by Dr. Andrew Ng and Dr. Percy Liang at Stanford University, where I also received both my Bachelors and Masters Degrees in Computer Science.