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I am currently an Assistant Professor of Information Systems at Arizona State University, W. P. Carey School of Business. Previously, I completed my PhD degree from University of Pennsylvania, Department of Economics under the supervision of Hamsa Bastani. I received a B.S. in Mathematics and a B.A. in Economics from Tsinghua University, and a M.S. in Statistics from University of Chicago.

My research focuses on developing novel machine learning methods for data-driven decision making practices, with applications to healthcare, textual analytics, digital platform, and pricing. In particular, I have designed tools for sequential decision making (e.g., bandits, reinforcement learning), collaborative decision making (e.g., multitask learning, transfer learning), and decision making with unstructured (e.g. natural language processing (NLP)) or matrix form (e.g., matrix completion).

I am actively looking for motivated graduate and undergraduate students (and colleagues who are interested in collaborating). The topics include all areas related to Information Systems, Operations Management, and Marketing, of both applied and theoretical machine learning. Please feel free to send me an email if you would like to chat about potential opportunities!

News

- I will be presenting "Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings" at Michigan Ross Workshop on Unstructured Data and Language Models, Jun 28-29, 2024.
- I will be presenting "Online Learning in Matching Market through Matrix Completion" at 2023 AIML Conference, Dec 1-2, 2023.