Jiayi Wang’s research interests lie broadly in the development of methodology and theory within nonparametric statistics and machine learning. Her recent work focuses on statistical challenges arising from complex data structures and intricate missing data mechanisms. Specifically, she explores problems in reinforcement learning, causal inference, recommender systems, and functional data analysis.