I am a Postdoctoral Fellow in the Department of Applied Mathematics and Statistics at Johns Hopkins University, working with Professor Yanxun Xu. My research interests lie in developing Bayesian statistical theory and methods for a broad range of problems, including Bayesian nonparametrics, dynamic treatment regimes, reinforcement learning, causal discovery, graphical models, and longitudinal data analysis. I also conduct interdisciplinary research by developing novel Bayesian methods for various applications, including electronic health/medical record data, precision medicine in HIV, early detection of Alzheimer’s disease, and proportional reasoning in cognitive science.

[News] 01/23/2024: Check out Media Coverage on our recently published paper A Bayesian Decision Framework for Optimizing Sequential Combination Antiretroviral Therapy in People with HIV in Annals of Applied Statistics!

[News] 01/02/2024: Our paper A Bayesian Approach for Investigating the Pharmacogenetics of Combination Antiretroviral Therapy in People with HIV has been accepted by Biostatistics!

[News] 09/20/2023: Our paper Common Antiretroviral Combinations are Associated with Somatic Depressive Symptoms in Women with HIV has been accepted by AIDS!