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.