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 methods that integrate rigorous statistical theory with modern machine learning and causal reasoning to advance trustworthy AI for clinical decision-making. A central theme of my recent research is developing statistical methods motivated by challenges in mental health and neurodegenerative disorders research. I have developed novel statistical methods for learning behavioral and neuroimaging dynamics from digital health data and for integrating evidence from heterogeneous clinical trials and real-world data. I have also developed statistical 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.