Md Monzur Murshed
Ph.D.
Assistant Professor of Statistics | Faculty
WH 262
(507) 389-6917
mdmonzur.murshed@mnsu.edu
Professional Profile
Dr. Md Monzur Murshed is an Assistant Professor of Statistics in the Department of Mathematics and Statistics at Minnesota State University, Mankato. His research focuses on statistical methodology, statistical machine learning, predictive modeling, meta-analysis, survival analysis, and biomedical data science. He applies rigorous statistical methods to health research using SEER, PhysioNet, and The Cancer Genome Atlas (TCGA), with current work in cancer survival, health disparities, clinical outcomes, and interpretable machine learning.
Dr. Murshed also mentors undergraduate and graduate students in statistical research, programming, scientific writing, poster presentation, and manuscript development.
Education
- Ph.D. in Statistics, University of Louisiana at Lafayette, 2024
- M.S. in Statistics, Ball State University, 2019
- M.S. in Statistics, University of Dhaka, 2017
- B.S. in Statistics, Biostatistics and Informatics, University of Dhaka, 2015
Primary Areas and Research Interests
- Statistical Machine Learning
- Statistical Inference
- Survival Analysis and Cancer Research
- Meta-Analysis
- Copula-Based Modeling
Selected Research, Funding, and Scholarly Highlights
- 2026 Minnesota State University, Mankato–Mayo Clinic Health System Seed Grant: Recipient for funded collaborative research using patient-reported outcomes.
- Research on Aging: Ongoing student research associated with a Janovy Summer Research Award from the Chesley Center on Aging.
- Book: Co-author of Statistics: An Introduction (Kendall Hunt Publishing).
Selected Published Work
- Copula based fusion of clinical and gene expression machine learning risk scores for breast cancer risk stratification
A. Aich, S. Hewage, and M. M. Murshed
Scientific Reports (2026) - A copula based supervised filter for feature selection in machine learning driven diabetes risk prediction
A. Aich, M. M. Murshed, S. Hewage, and A. Mayeaux
Scientific Reports 16, 12132 (2026) - Bayesian credible and prediction intervals for the two-parameter negative binomial (NB2) model
M. M. Hasan, M. M. Murshed, and M. N. Hasan
Electronic Research Archive 34(9), 6957–6998 (2026) - Confidence interval and test for the mean of a zero-inflated two-parameter negative binomial distribution
M. M. Hasan, M. M. Murshed, and M. N. Hasan
Research in Statistics 4(1), 2687308 (2026) - Improved Confidence Intervals Based on Combined Information in Univariate Calibration
M. M. Murshed and K. Krishnamoorthy
Journal of Statistical Theory and Practice 18, 32 (2024) - Confidence estimation based on data from independent studies
K. Krishnamoorthy and M. M. Murshed
Statistical Methods in Medical Research 33, 42–60 (2024)
Manuscripts Under Review
- Inflammatory Breast Cancer and Racial Disparities: A SEER database analysis of survival outcomes
Student-led research supervised by M. M. Murshed
Scientific Reports | Under review - CopulaSMOTE: A copula-based oversampling approach for imbalanced classification in diabetes prediction
Agnideep Aich, Md Monzur Murshed, Bruce Wade, and Sameera Hewage
Preprint available on arXiv | Under review
Courses Taught at MSU
- STAT 154: Elementary Statistics
- STAT 221: Applied Probability and Statistics for Engineering
- STAT 354: Concepts of Probability and Statistics
- STAT 356: Introduction to programming
- STAT 455/555: Theory of Statistics I
- STAT 456/556: Theory of Statistics II
- STAT 457/557: Sample Survey, Design and Analysis
- STAT 492: Statistics Capstone Experience
Professional Links
