Serves as a steering committee member of the Personalized Nutrition Initiative and an Advisory Board member of Prenosis Inc.
Research Experience
Before joining UIUC, was a postdoctoral associate at Yale University, jointly supervised by Hongyu Zhao and Shuangge Ma. Currently an Associate Professor in the Department of Statistics at the University of Illinois Urbana-Champaign, affiliated with several institutions including the Carle Illinois College of Medicine, National Center for Supercomputing Applications, and Carl R. Woese Institute for Genomic Biology.
Education
Ph.D. (2013) in Biostatistics from the University of North Carolina at Chapel Hill, supervised by Michael Kosorok; MA (2008) in Statistics from Bowling Green State University; BS in Mathematics and BS in Financial Engineering from Nanjing University, China.
Background
Broad interest in developing statistical methodology, theory, and computational algorithms for decision-making problems, particularly in personalized medicine and reinforcement learning. Focused on addressing issues such as unrealistic assumptions, unstable performance, lack of interpretability, and challenges posed by small sample sizes, high dimensionality, and complex data structures. Recent work focuses on uncertainty quantification, distributional shift, causal inference, and trustworthiness, aiming to develop more reliable and practical solutions for real-world applications. Also interested in classical statistical learning and machine learning methods, including random forests, sufficient dimension reduction, and survival analysis, with applications in bioinformatics, infectious diseases, and nutrition studies.