I am a Postdoctoral Research Scientist at Columbia University, working with Professor Yuanjia Wang. I also serve on the Statistical Society of Canada ’s Student and Recent Graduates Committee. Previously, I was research trainees at the Fields Institute for Research in Mathematical Sciences, the Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, the University of Toronto, and the University of Wetsern Ontario.

During my graduate studies, I focused on developing statistical methodologies and machine learning techniques to address challenges posed by noisy data, including missing values, censored observations, and measurement errors. Currently, my research explores how statistical and machine learning models can be used to characterize human behavior, integrate diverse data modalities (e.g., behavioral phenotyping and neuroimaging measures), and effectively combine information from related randomized trials to advance precision medicine.