I am an associate professor in the Computer Science
Department at Stanford University. My goal is to create AI systems that learn from few samples to robustly make good decisions,
motivated by our applications to
healthcare and education. My lab is part of the Stanford AI Lab
Stanford Statistical ML group
AI Safety @Stanford
I was previously an assistant professor at Carnegie
Mellon University. My work has been honored by
early faculty career awards (National Science
Foundation, Office of Naval Research, Microsoft Research (1 of 7
worldwide) ) and my work, together with my amazing lab members, has received several best research paper
nominations (CHI, EDMx3) and awards (UAI, RLDM, ITS).
Recent: Keynotes at Conference on Learning Theory (COLT 2019) and Uncertainty in Artificial Intelligence (UAI 2019). Slides for the UAI talk available here.