I am a postdoctoral research associate at the University of Wisconsin-Madison, working with Ramya Korlakai Vinayak.
I am primarily interested in topics of interactive machine learning and sequential decision making. 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.
I received my Ph.D. in Computer Science from the University of California San Diego (UCSD), advised by Kamalika Chaudhuri. Before joining UCSD, I obtained my B.S. in Computer Science from the University of Southern California, where I worked with T. K. Satish Kumar and Sven Koenig on combinatorial search, planning and scheduling, and constraint satisfaction, among other subfields of artificial intelligence.