I am currently an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech. Prior to joining ISyE, I was a postdoctoral researcher in the Department of Statistics and International Computer Science Institute (ICSI) at UC Berkeley, working with Michael W. Mahoney.

I received my Ph.D. degree in statistics from the University of Chicago in 2021, under the supervision of Mihai Anitescu and Mladen Kolar. Before attending UChicago, I received my B.S. degree in mathematics from Nanjing University in 2016. I also visited the Statistics department at UC Davis as an exchange student and worked with Jane-Ling Wang, Hans-Georg Müller, and Christiana Drake in 2015.

I am broadly interested in the mathematical foundations of data science, with topics including high-dimensional statistics, graphical models, semiparametric models, optimal control, and large-scale and stochastic nonlinear optimization. I am also interested in the applications of machine learning methods in biology, neuroscience, and engineering.

(1) I’m actively seeking graduate students who are interested in interdisciplinary research in statistics, optimization, control, data science, and generative AI.
(1a) GT students: send me an email with CV and transcript.
(1b) Prospective students: apply to PhD programs and mention my name in application.
(2) I’m happy to host (remote) undergraduate/graduate visitors with shared interests, which is also one way I use to identify potential students for my group. However, please reach out only if you are willing to finish the work even after the application season!