About Me

This is my old website. The new lab website is coming up soon...

Mohamamd A. Al-Mamun, PhD

I am an interdisciplinary mathematical modeler, currently working as a Lecturer of Health Outcomes Data Science at the Collge of Pharmacy in University of Rhode Island. Previously, I have worked as a Postdoctoral Researcher at the Department of Epidemiology of Microbial Diseases in Yale School of Public Health (2017-2019) and Department of Population Medicine & Diagnostic Sciences at Cornell University (2015-2017). I have obtained my Ph.D. from the Department of Computing and Information Sciences in Northumbria University, UK.

I am interested in developing data science/mathematical methods of complex biological processes involved in different diseases. My methodological interests are statistical modeling, data science, data-driven modelings, and mathematical biology. Main objective of my research is to develop and use data-driven tools to detect and prevent infections diseases like Rotavirus, Paratuberculosis, and West Nile virus. The data-driven models are parameterized from the datasets collected from longitudinal studies, bird-cohorts, demographic studies, vaccine trial data and image repositories. Now-a-days, it is one the big challenges in the field of translational research that how to develop a decision making tool based on the big datasets like electric health records, calims data, phenotypic data and testing data to inform health decision and policies. My research provides cutting edge methods and tools to interpret big health-realted data to epidemiological survillence data and then builds new mathematical modeling solutions to understand the disease-specific resarch questions.

My areas of Interest are

Statistical modeling(Regression models, generalized linear models, time series models-ARIMA and spatio-temporal modeling)
Infectious disease modeling (ODE models, dynamic models, mechanistic models, vaccine efficacy & heterogeneity in transmission dynamics)
Mathematical biology/computational modeling (ODEs and PDEs based modeling, multi-scale, stochastic, cellular automata, agent/individual based based & multi-agent systems)
Data science (explanatory data analysis, clustering, association rule mining, novel classifier for big biological data and quantitative image processing)
Machine learning (Developing novel classifier for big data problem, clustering, association rule mining and optimization)

I collaborate with researchers from multiple disciplines nationally and Internationally. At the moment I am collaborating with Dr Virginia Pitzer, Prof Yrjo Grohn, Dr. Dewan Md Farid and Dr. Cristina Lanzas on different projects. Details of the projects I collaborate with other researchers can be found here.

Recent news of my research activities are here.

Please feel free to explore the research ideas I am currently working on.

I can be found elsewhere

Recent News

I received a poster prize in The Thirteenth International Rotavirus Symposium will be held 29-31 August, 2018 in Minsk, Belarus.
New pre-print is available of our new mathematical modeling and validation study of Paratuberculosis, A Data-driven Individual-based Model of Infectious Disease in Livestock Operation: A Validation Study for Paratuberculosis
Our Post-harvest supply chain paper just got accepted in Applied and Environmental Microbiology, Postharvest Supply Chain with Microbial Travelers: a Farm-to-Retail Microbial Simulation and Visualization Framework
Our modeling paper on Paratuberculosis is accepted in Nature Scientific Reports, Use of an Individual-based Model to Control Transmission Pathways of Mycobacterium avium Subsp. paratuberculosis Infection in Cattle Herds