I am a Ph.D. in the Information System Laboratory in Department of Electrical Engineering at Stanford University. I am advised by Professor Nick Bambos and Professor Peter Glynn . My research interests lie in applying methodological tools from machine learning, applied probability, game theory and stochastic optimization to solve data-driven decision making problems at large. I am funded by a Stanford Graduate Fellowship (SGF) in Science and Engineering.

I completed my undergraduate degrees (EECS and Math) at UC Berkeley. At Berkeley, I worked with Professor Claire Tomlin on control and optimization. Over the years, I have also been very fortunate to collaborate with many amazing people. This is my Google Scholar page. I am also an organizer of the department seminar ISL colloqium.

I will be joining New York University Stern School of Business as an assistant professor.