I am a third year Ph.D. candidate in Computer Science co-advised by Emily Fox in Statistics and Carlos Guestrin in Computer Science. My research lies at the intersection of probabilistic machine learning, time series, and healthcare. Patient health is inherently a dynamic process that evolves over time. I am interested in how we can learn from historical data to monitor patient health, explain clinical observations, and personalize treatments.
In my work, I try to bridge the gap between novel methods in machine learning and practical applications in healthcare.
Prior to Stanford, I studied computer science, math, and physics at Cornell University.