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. I completed my secondary education at Hangzhou Foreign Languages School.

My research lies broadly at the intersection of statistics and machine learning, with an emphasis on developing rigorous theoretical methods and scalable computational tools for large-scale and complex structured data. Much of my recent work is motivated by clinical trials in mental health, focusing on methodological innovation and efficient implementation to learn human behavioral and neuroimaging dynamics as well as advance precision medicine using multiple studies. During my graduate studies, I also worked on boosting prediction, variable selection, causal inference with machine learning, COVID-19 incubation time modeling, and joint longitudinal and time-to-event modeling, developing statistically principled methods to handle missing, censored, and error-prone data. Additionally, I completed several predictive modeling projects applying machine learning techniques.