About Me

Welcome to my website! I am currently a postdoctoral research scientist in the Department of Biostatistics at Columbia University Mailman School of Public Health, working with Professor Yuanjia Wang. Prior to this, I have the privilege to work as research trainees at the Fields Institute for Research in Mathematical Sciences, Institute for Clinical Evaluative Sciences, Lunenfeld-Tanenbaum Research Institute of Sinai Health, University of Toronto, and University of Western Ontario.

My research develops principled statistical methodology at the intersection of machine learning and causal reasoning, with the goal of enabling reliable decision-making under uncer- tainty. A central theme of my recent research is statistical modeling of behavioral and neuroimaging data, with a focus on characterizing latent dynamics and joint modeling across modalities. In parallel, I work on learning individualized treatment rules by integrating evidence across clinical trials and real-world data. I have also developed statistical and machine learning methods for imperfect data, addressing challenges involving missingness, censoring, and measurement error. Beyond these methodological contributions, my research has been applied to diverse scientific and applied domain.