About Md Mahmudul Hasan
Md Mahmudul Hasan, Ph.D. is an assistant professor in the Department of Pharmaceutical Outcomes and Policy (POP) with a joint appointment in the department of Information Systems and Operations Management (ISOM) at the University of Florida. He is also the Assistant Director and the Faculty Lead of the Medical Marijuana Research Repository for the Florida state-funded Consortium for Medical Marijuana Clinical Outcomes Research. His appointment is a part of the UF’s larger AI initiative. Prior to joining the faculty at UF, Dr. Hasan worked as an Oak Ridge Institute for Science and Education (ORISE) Postdoctoral Fellow of Drug Safety and Artificial Intelligence Methods in the Center for Drug Evaluation and Research (CDER) at the United States Food and Drug Administration (FDA). Dr. Hasan has completed PhD and worked as a postdoctoral research scientist at the Decision Analytics Lab at Northeastern University, Boston, Massachusetts. He was also an active member of Northeastern’s Center for Health Policy and Healthcare Research.
Dr. Hasan conducts data-driven interdisciplinary research to address complex challenges in public health, contributing to healthcare decision-making, policy, and management. Funded by CDC in collaboration with Massachusetts Department of public health (MDPH), he has collaborated in several interdisciplinary research projects that address critical issues surrounding opioid use disorder and opioid overdose epidemic. His current research lies in the intersection of pharmaceutical outcomes and health service utilization with a focus on substance use and mental health disorder, opioid related adverse drug events, and chronic diseases. His primary research interests include developing (i) fair, trustworthy, and equitable AI-driven and evidence-based Clinical Decision Support Systems (CDSS) to help predict adverse health outcomes; and (ii) prescriptive decision analytic models to improve medication adherence and effectiveness of personalized interventions to better manage the chronic health conditions. From a methodological standpoint, Dr. Hasan leverages data science, in particular AI/machine learning, statistical modeling, and management science techniques.