About Me

I am a final-year Ph.D. student in the Department of Statistics at Purdue University, advised by Prof. Jennifer Neville in the Department of Computer Science. I am also fortunate to have collaborated with Profs. Vinayak Rao, Qiang Liu, and Petros Drineas.

I obtained a joint M.S. degree in Statistics and Computer Science from Purdue University in 2015, and a B.S. degree in Statistics from the Special Class for the Gifted Young at the University of Science and Technology of China in 2013.

My general research area is statistical machine learning. In particular, my research interests include point processes, statistical network analysis, Stein's method, kernel and nonparametric methods, Bayesian posterior inference, and randomized sketching algorithms.
Previously, I have worked on nonparametric goodness-of-fit tests for discrete distributions, point-process models for dynamic networks, and relational learning methods for graph data.

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