Associate Professor, Department of Population Health
I joined NYU Grossman School of Medicine after a PhD in statistics at Carnegie Mellon University and postdoctoral research fellowship at Harvard Medical School. My research interests lie in developing and implementing statistical and machine learning tools to solve problems motivated by real-world applications in medicine, global health, and education. My methodological work has focused on statistical social network analysis, penalized regression for longitudinal data, and Bayesian causal inference. I am also passionate about developing ML infrastructures in low- and middle-income countries.
I am currently an mPI on an NIH-funded study (1R01HL155149-01) to develop a generalizable and fair prediction algorithm for predicting medication non-adherence. I am also a recent winner of the Johnson & Johnson Women in STEM Scholar award in math, for which I am exploring agent-based models in the context of complex real-world interventions. I was a PI of a pilot study that utilized machine learning to study predictors of mental health issues among Asian American children using a large nationally representative survey data (supported by Center for the Study of Asian American Health, 5U54MD000538-17).
PhD from Carnegie Mellon University
Harvard Medical School, Department of Healthcare Policy
Statistics in medicine. 2019 May 30; 38(12):2184-2205
Social networks. 2020 Oct 01; 63:122-133
JAMA network open. 2020 07 01; 3(7):e2016938
Psychometrika. 2020 Jun; 85(2):251-274
Environmental research. 2023 Oct 10; 239(Pt 1):117248
American journal of gastroenterology. 2023 Aug 25;
BMC health services research. 2023 Jan 16; 23(1):41