I am a final-year Ph.D. candidate in Computer Science at the University of California San Diego (UCSD), advised by Prof. Kamalika Chaudhuri. I am on the job market. Please let me know if you have any leads!
I am primarily interested in topics of interactive machine learning and sequential decision making, such as online learning, bandits, and reinforcement learning. In particular, I aim to design and analyze efficient and robust algorithms that make use of data from diverse sources, such as a large pool of human users or non-stationary environments.
Before joining UCSD, I obtained my B.S. in Computer Science from the University of Southern California, where I worked with Prof. T. K. Satish Kumar and Prof. Sven Koenig on combinatorial search, planning and scheduling, and constraint satisfaction, among other subfields of artificial intelligence.