I'm a first-year PhD student in the Department of Statistics at the University of Michigan. I graduated from Duke University with a B.S. in mathematics and statistical science in May 2025.
I am interested in developing general, robust and assumption-light statistical methodology, often based on principles from Bayesian statistics and machine learning. I find the most interesting inspiration for such methods in biomedicine (especially medical and population genetics) and the social sciences (experimental design, causal inference, privacy and survey methodology).
At Duke, I was fortunate to be advised by Prof. Jerry Reiter and Prof. Ezra Miller. I also worked with Prof. Jichun Xie and Prof. Chirag Patel at Harvard Medical School.
Outside of research, I have a strong interest in journalism and worked as a news reporter and editor for The Chronicle, Duke's student-run newspaper. I am an avid basketball fan and worked on the creative team for Duke Men’s Basketball.
Research
Publications
A sensitivity analysis framework for quantifying confidence in decisions in the presence of data uncertainty
Adway S. Wadekar, Jerome P. Reiter
Major revision at Statistics and Public Policy, 2025
Evaluating binary outcome classifiers estimated from survey data
Adway S. Wadekar, Jerome P. Reiter
Epidemiology, 2024
A psychosocial approach to predicting substance use disorder (SUD) among adolescents
Adway S. Wadekar
IEEE/ACM ASONAM, 2020
Understanding opioid use disorder using tree-based classifiers
Adway S. Wadekar
Drug and Alcohol Dependence, 2020
Expository Writing
Algebraic and geometric aspects of log-linear models
Adway S. Wadekar
Undergraduate thesis, 2025