I am a fourth year Electrical Engineering PhD student at Stanford University advised by Professor John Duchi and supported by the 3-year Professor Michael J. Flynn SGF fellowship. I have been fortunate to work with Moritz Hardt this past summer in the intersection of causal inference and control theory. My research interests are broadly in causal inference, optimization, and differential privacy, and I am currently working on projects in causal inference and adaptive optimization.
Prior to joining Stanford, I was fortunate as an undergraduate at UC Berkeley to work with Professors Jean Walrand, Laurent El Ghaoui, and Kannan Ramchandran. I was also fortunate to be a teaching assistant for Data Structures (CS61b) in Sp'17, Algorithms (CS170) in Fa'17, and Probability (EE126) in Sp'18 and Sp'19. In 2019, I was awarded the UC Berkeley Campus Outstanding GSI award.