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I am an assistant professor in the Marketing Department of the Warrington College of Business, the University of Florida. I’m also an affiliate assistant professor in the Department of Statistics, and an affiliated member in the UF Artificial Intelligence Academic Initiative.

Previously, I was a postdoctoral scholar at the Data Science Institute, Columbia University, working with Prof. David M. Blei and Prof. Simon Tavaré. I received my Ph.D. in Statistics from the University of Texas at Austin, supervised by Prof. Mingyuan Zhou. Before coming to UT, I spent four years as an undergraduate at the math department of Fudan University, Shanghai.

My research focuses on the intersection of Bayesian statistics, machine learning, causal inference, and quantitative marketing. The topics I am interested in include

• Probabilistic machine learning: deep generative model, meta-learning, conformal prediction, factor model
• Bayesian inference and modeling: variational inference, uncertainty estimation, discrete latent variable models
• Causal inference: heterogeneous treatment effects, sensitivity analysis, quasi-experiments, fairness
• Quantitative marketing: targeting, online advertising, unstructured data analysis