College of Nursing

Quick Links

Faculty & Staff

* (Nursing Faculty Profile)

Md Roungu Ahmmad

Md Roungu Ahmmad, PhD, MS

Assistant Professor of Biostatistics and Data Science

Dr. Ahmmad believes that responsible and innovative application of statistical science has the power to transform public health. His research philosophy emphasizes transparency, rigor, and collaboration—combining classical biostatistics with modern data science tools to create interpretable and actionable knowledge. He is committed to promoting health equity and using data to inform ethical, evidence-based policies and interventions, particularly in underserved and vulnerable populations.

Education

  • PhD, Biostatistics and Data Science, School of Population Health, University of Mississippi, 2022
  • Certificate, Statistical Genetics, School of Public Health, University of Washington, 2022
  • MS, Biostatistics and Data Science, School of Population Health, University of Mississippi, 2020
  • MSc, Statistics Biostatistics and Informatics, University of Dhaka, 2010
  • BSc, Statistics Biostatistics and Informatics, University of Dhaka, 2008

Interdisciplinary and Emerging Signature Programs

  • Cancer Biology
  • Cardiovascular
  • Environmental & amp; Global Health
  • Women & Children's Health
  • Allergy, Immunology & Infectious Disease
  • Metabolic Regulation and Disorders

Research Interests

  • Dr. Md Roungu Ahmmad's research focuses on advancing statistical and data science methodologies to address complex questions in biomedical, epidemiologic, and public health research. His work lies at the intersection of biostatistics, machine learning, and population health, with a strong emphasis on translating data into meaningful insights for clinical and policy applications.
  • His current research areas include:
  • Cancer Epidemiology and the Exposome: Developing predictive and causal models to understand how environmental exposures interact with genetic and behavioral factors to influence cancer risk and recurrence.
  • Neurodevelopmental Disorders: Investigating the role of sleep, family engagement, and comorbid conditions in Autism Spectrum Disorder using nationally representative survey data such as the NSCH.
  • Chronic Disease Modeling: Applying joint models and survival analysis to study chronic conditions like cardiovascular disease, diabetes, and congenital disorders.
  • Statistical and Machine Learning Methodologies: Integrating supervised and unsupervised learning techniques (e.g., Random Forest, SVM, PCA) with traditional biostatistical models to improve early detection, risk prediction, and outcome classification.
  • Large-Scale Data Analysis: Utilizing population-level data (e.g., SEER, NHANES, NSCH, cBioPortal) to investigate public health trends and disparities.
  • Dr. Ahmmad's research is collaborative, interdisciplinary, and geared toward improving health outcomes, especially among vulnerable and underrepresented populations. His work contributes to the development of reproducible and interpretable models that inform evidence-based decision-making in public health, clinical practice, and health policy.

Memberships

  • Members (American Statistical Association, 2018 - Present)
  • Members (American Statistical Association, 2020 - Present)
  • Members (American Statistical Association, 2007 - Present)

Recent Publications

  • Ahmmad, M.R., Khan, M.T.F., Hossain, E. et al Competing mortality risk from COVID-19, cerebrovascular diseases, and ischemic heart disease among U.S. cancer patients by race, income, and rurality. Discover Public Health. 147(23) : https://doi.org/10.1186/s12982-026-01492-2, 2026.
  • Ahmmad, M. R., Pantazopoulos, H., & Kothiya, S. H. A comprehensive causal and machine learning framework for autism spectrum disorder risk prediction and high-risk subgroup identification from children with chronic health and genetic disorders in the United States. Research in Autism. 131: https://www.sciencedirect.com/science/article/pii/S3050656526000404, 2026.
  • Ahmmad, M. R., Pantazopoulos, H., Faruque, F., Zhang, X., & Puri, R Association Between Age-Specific Sleep Sufficiency and Autism Spectrum Disorder in US Children Journal of Autism and Developmental Disorders. , 2025.
  • Roungu Ahmmad1*, Paul A Burns2, Ashraful Alam3, Jeannette Simino1, Wondwosen Yimer1 and Fazlay Faruque2 Understanding the Impact of Social Engagement Activities, Health Protocol Maintenance, and Social Interaction on Depression During Covid-19 Pandemic Among Older Americans Neurological Disorders. 11(1) : 1-7, 2023.
  • Roungu Ahmmad* , Fazlay Faruque Distribution of Obesity-related Health Outcomes across the Urban-Rural Commuting Area in Mississippi, Alabama, Louisiana, and Georgia Diabetes Case Reports. 8(2) : 1-8, 2023.
  • Ahmmad, Md Roungu|Hossain, Emran|Khan, Md Tareq Ferdous|Paudel, Sumitra Using machine learning to identify risk factors for Alzheimer's disease among older adults in the United States: The role of chronic and behavioral health Journal of Alzheimer's Disease Reports [25424823]. 9, 2025.
  • Ahmmad, M. Roungu|Haque, Saiful Providing Electricity by Digester Types on Biogas Productions from Municipal Solid Waste in Dhaka City, Bangladesh International Journal of Energy, Information and Communications [20939655]. 5(3) , 2014.
  • Ahmmad, M. Roungu The Problems of the Effective Classroom Teaching in Govt. Colleges in Dhaka City Humanities and Social Sciences [23308176]. 2(2) , 2014.
  • Md Roungu Ahmmad Modeling Multivariate Longitudinal and Multiple Time to Event Outcomes https://www.proquest.com/openview/8c797118ae086127aa3e62431a5062b1/1?pq-origsite=gscholar&cbl=18750&diss=y. , 2022.
  • Ahmmad, M. Roungu|Islam, M. Nurul Impact of Disability on Quality of Life of Urban Disabled People in Bangladesh International Journal of u- and e- Service, Science and Technology [20054246]. 7(4) , 2014.