Scholar
Samrachana Adhikari
Google Scholar ID: T3pF6RcAAAAJ
NYU School of Medicine
Citations & Impact
Citations
4,368
H-index
26
i10-index
44
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Winner of the 2020 Johnson & Johnson Women in STEM Scholar award in math. Published a study in the New England Journal of Medicine suggesting no evidence of increased likelihood of COVID-19 for patients taking antihypertensive drugs. A paper on Nonparametric Bayesian Instrumental Variable Analysis was accepted in JASA.
Research Experience
- Currently an mPI on a NIH-funded study (1R01HL155149-01) to develop generalizable and fair prediction algorithms for predicting medication non-adherence. 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.
Education
- PhD in Statistics from Carnegie Mellon University; Postdoctoral Research Fellow at Harvard Medical School.
Background
- Associate Professor of Biostatistics in the Department of Population Health, NYU School of Medicine. Her 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.
Miscellany
- Passionate about developing ML infrastructures in low- and middle-income countries. Will be teaching Probability and Introduction to Machine Learning at the first Nepal winter school in AI.
Co-authors