Abdullah Al-Mamun, PhD

Dr. Abdullah Al-Mamun is an Assistant Professor in the Department of Pharmaceutical Systems and Policy in the School of Pharmacy. He received his Ph.D. in Computing and Information Sciences from the University of Northumbria at Newcastle, UK.

Assistant Professor

Organization:

West Virginia University School of Pharmacy

Department:

Pharmaceutical Systems & Policy

Classification:

Faculty

• PhD, University of Northumbria, Newcastle, UK

Full publications list can be found here

https://scholar.google.com/citations?user=9Ga2RnYAAAAJ&hl=en

ResearchGate profile can be found here

https://www.researchgate.net/profile/Mohammad-Al-Mamun-5

Dr. Al-Mamun’s research lab name is HealBig- Health Outcomes and BigData Informatics. HealBig mainly focuses on understanding complex data problems in health outcomes and services-related research problems. HealBig develops and improves methods like mathematical and agent-based models, decision support systems, data mining, and machine learning within the health outcomes research domain. The overarching goal of HealBig is to develop health data science tools through interdisciplinary collaboration among health data scientists, physicians, clinical pharmacists, and other health-care professionals.

Dr. Abdullah Al-Mamun is an Assistant Professor in the Department of Pharmaceutical Systems and Policy in the School of Pharmacy at West Virginia University (WVU). He received his Ph.D. in Computing and Information Sciences from the University of Northumbria at Newcastle, UK. Prior to joining WVU, he worked as a Health Outcomes Data Science faculty in the College of Pharmacy at University of Rhode Island. He completed two postdoctoral fellowships in Epidemiology of Microbial Diseases in the Department of Population Medicine & Diagnostic Sciences at Cornell University and in the Yale School of Public Health at Yale University.

In training, he is a health data scientist, specialized in the areas of health outcomes data science, and epidemiology. He brings interdisciplinary research experiences on building mathematical modeling and health data science tools (predictive models, machine learning) to understand disease dynamics both individual- and population-level. His research provides cutting-edge methods and tools to interpret and address the research questions related to health outcomes, big data, and epidemiological surveillance systems. His current research is expanded three themes: (1) understanding polysubstance use among the people who use opioids using sate- and national-level surveillance datasets, (2) understanding medication regimen complexity among critically ill patients using the intensive care unit data, and (3) understanding spatiotemporal dynamics of vector-borne diseases (West Nile and Eastern Equine Encephalitis Viruses) in the USA using national-level surveillance datasets.

Dr. Al-Mamun’s research lab name is HealBig- Health Outcomes and BigData Informatics. HealBig mainly focuses on understanding complex data problems in health outcomes and services-related research problems. HealBig develops and improves methods like mathematical and agent-based models, decision support systems, data mining, and machine learning within the health outcomes research domain. The overarching goal of HealBig is to develop health data science tools through interdisciplinary collaboration among health data scientists, physicians, clinical pharmacists, and other health-care professionals.