Assistant Professor of Instruction
Department of Mathematics
Ohio University
Statistician and biostatistician with research interests in survival analysis, longitudinal data analysis, causal inference, machine learning, and statistical methods for biomedical and public health research. My work integrates methodological statistics with collaborative health research to support disease prediction, clinical decision-making, and population health.
Assistant Professor of Instruction
Department of Mathematics
Ohio University
2023–Present
Ph.D. in Applied Mathematics
University of North Carolina at Charlotte
2021
M.S. in Mathematics
Ohio University
2015
M.A. in Mathematics
Tribhuvan University, Nepal
2000
B.Ed. in Mathematics
Tribhuvan University, Nepal
1997
Developing statistical and machine learning methods for mortality prediction, clinical risk assessment, and chronic disease epidemiology using the National Health and Nutrition Examination Survey (NHANES).
Investigating risk factors for incident diabetes and chronic disease progression among older U.S. adults using the Health and Retirement Study (HRS).
Developing semiparametric statistical methods for survival analysis, missing data, complex sampling designs, and efficient estimation motivated by biomedical research.
Subedi, P., Dahal, K. R., Pokhrel, N. R., Bhandari, R.,
Gaire, S., Dahal, M., & Giwa, M. (2024).
Predicting Coronary Artery Disease Using Machine Learning.
International Journal of Statistics and Probability.
Subedi, P., Sun, Y., & Gilbert, P. B. (In Press).
Semiparametric Additive Hazards Models with Missing Covariates, with
Application to the Antibody Mediated Prevention HIV Trials.
In Next-Gen Lifetime Data Analysis: Emerging Innovations and Applications.
Springer.
I teach undergraduate and graduate courses in statistics, probability, and data science with an emphasis on statistical reasoning, computational methods, and real-world applications. My teaching philosophy integrates active learning, project-based instruction, and reproducible statistical computing to prepare students for careers in mathematics, statistics, and data science.
R • Python • SQL
SAS • Stata • MATLAB
Git • GitHub • Google Colab
LaTeX • Overleaf • R Markdown
Department of Mathematics
Ohio University
Email:
subedi@ohio.edu