About me

I am a PhD student in Computer Science at University of Virginia, advised by Prof. Aidong Zhang. Previously, I received my M.S. in Computer Science from Courant Institute of Mathematical Sciences, New York University and my B.S. in Mathematics from University of Illinois Urbana-Champaign, with minors in Computer Science and Electrical Engineering.

My research interest is to develop interpretable representation learning methods based on the learning theory or probabilistic explanation. I am eager to persistently improve my understanding in diverse areas of study including but not limited to 1). Bayesian Machine Learning, 2). Robustness and Fairness in Machine Learning, 3). AI for Healthcare.

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