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 at the intersection of statistics and machine learning, with a focus on developing rigorous theoretical methods and scalable computational tools for complex data. Driven by public health challenges arising from noisy and heterogeneous datasets, much of my recent work centers on clinical trials in mental health. Currently, I emphasize methodological innovation and efficient implementation to learn behavioral and neuroimaging dynamics and to advance precision medicine through the integration of multiple studies. During my graduate studies, I worked on boosting prediction, variable selection, causal inference using machine learning, COVID-19 incubation period modeling, joint longitudinal and time-to-event models, and other machine learning applications, developing statistically principled approaches to handle high-dimensional, missing, censored, and error-prone data.