Computer Science
BS
Georgia Institute of Technology
2004
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Faculty
Faculty
Abiodun Otolorin, MD, MS
Assistant Professor
Department/Office
- Community Health and Family Medicine
School/College
- College of Medicine
Biography
Dr. Otolorin is a board-certified family physician and board-eligible clinical informatician. He is an Assistant Professor in the Department of Community and Family Medicine at Howard University. He received his medical degree from Eastern Virginia Medical School, Norfolk, Virginia. He received his bachelor’s degree in Computer Science and master’s degree in Bioengineering from the Georgia Institute of Technology, Atlanta, Georgia. He completed his family medicine residency training at Howard University, Washington, DC. His interests are at the intersection of medicine, informatics, technology, and health disparities. Dr. Otolorin leverages his unique ability to integrate his knowledge and skills in computer science, clinical informatics, data science, and medicine. He possesses the rare ability to engage in-depth analysis and collaboration involving information systems (i.e. from data structures to solutions architecture) and patient care (i.e. from the bedside to populations) which ensures alignment of organizational goals, resources, and outcomes. He currently serves as the Interim Chief Medical Information Officer for Howard University Hospital.
Education & Expertise
Education
Bioengineering
MS
Georgia Institute of Technology
2008
Doctor of Medicine
MD
Eastern Virginia Medical School
2013
Expertise
Research
Research
Funding
Principal Investigator - Addressing health disparities via development of a geospatial analysis application for visualization of environmental and social determinants of health in the District of Columbia-pilot study. Georgetown University/Bezos Earth Fund. Award Number: CON-0017454
Early-Stage Investigator - Howard NIH RCMI Administrative Supplement to Support All of Us and Health Disparities related Pilot Research. NIH All of Us Research Program - Epidemiology of Statin adherence for Cardiovascular Disease Prevention Care and Use of Machine Learning for Prediction of Statin Nonadherence. National Institute of Minority Health and Health Disparities. Award Number: 3U54MD007597-34S4
Early-Stage Investigator - National Institute of Health All of Us Research Program: Epidemiology and Prediction of comorbid Hypertension and Type 2 Diabetes Mellitus control for Cardiovascular Disease Preventive Care. Small Research Grant Award from National Heart, Lung, and Blood Institute. Award Number: R25HL105400
Co-Investigator - Howard University Clinical Research Network for Health Equity. Howard University RCMI. National Institute of Minority Health and Health Disparities. Award Number: 1UG3MD018349-01
Multiple-Principal Investigator – Howard University Integrated Clinical Data Repository. NIH Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD). Data and Infrastructure Capacity Building Core. 2023-2024
Multiple-Principal Investigator – Predicting Brain Structure and Function in Opioid Use Disorder and HIV Pathology. NIH Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD). Program for Artificial Intelligence Readiness (PAIR). 2023-2024