I'm a postdoc at UC Berkeley, advised by Michael I. Jordan. My research focuses on Bayesian modeling, variational inference, and optimization for large-scale scientific applications.
I graduated from UC Berkeley's statistics Ph.D. program in 2016. My Ph.D. advisor was Jon McAuliffe. I received the 2013 US/Canada Google Ph.D. Fellowship in Machine Learning.
For more about me, please see my CV.