I am an Associate Professor of Biostatistics in the Department of Population Health, NYU  School of Medicine. I joined NYU 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 a NIH funded study (1R01HL155149-01) to develop 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).

See my Complete list of publications .

Full CV is here..

I can be reached at Samrachana.Adhikari AT

Open post-doctoral position in my research group. Please consider applying.