I am a 5th year PhD candidate in the Stanford Machine Learning Group co-advised by Andrew Ng and Percy Liang. My research interest is in building artificial intelligence (AI) technologies to tackle real world problems in medicine. My PhD work has led to the development of AI technologies for clinical medicine (CheXNet), and large datasets that have facilitated advancements of AI technologies in both medicine (CheXpert) and natural language processing systems (SQuAD). My long term mission is to build AI technologies that will be used routinely for diagnosis, prognosis, and treatment of patients.
I received both my Bachelors and Masters Degrees in Computer Science from Stanford. My research has been published in both medical journals (Nature Medicine, PLOS Medicine) and computer science conferences (ACL, EMNLP, AAAI), and covered by media outlets including NPR, Washington Post, and WIRED. I designed the AI for Healthcare Bootcamp at Stanford, where I have mentored 80 Stanford students on AI for Healthcare research projects. With Eric Topol, I write Doctor Penguin, a weekly newsletter highlighting AI for Medicine research with over 2000 readers.