I am a third-year PhD student at UCSD, advised by Kamalika Chaudhuri. My research is on extending the frontiers of differential privacy by making it more efficient and by applying it to new areas such as networks. Besides privacy, I am broadly interested in a number of machine learning subfields including fairness, robustness, and online learning. I also like thinking about computability, formal logic, and topics in discrete mathematics.
Outside of work, I try to maintain a healthy spirit and body. I do this by playing sports, cooking, meditating, practicing yoga, reading books, and spending time outside.
Here is my CV.