Fares Alahdab, MD, MS, MSc, FAHA, FACC

Profile

Fares Alahdab, MD, MS, MSc, FAHA, is an associate professor of biomedical informatics, biostatistics, epidemiology, and cardiology, and the director of graduate studies in health informatics at the University of Missouri School of Medicine. Dr. Alahdab’s clinical and research interests converge at the intersection of cardiovascular medicine, cardiometabolic health, advanced statistical learning, causal inference, multimodal data, and artificial intelligence.

His work incorporates multimodal data sources to assess health risk and disease. In the research space, Dr. Alahdab applies machine learning and artificial intelligence to build predictive models that evaluate risk and outcomes. He also aims to use advanced methods and integrate large data sets to better understand disease mechanisms, novel therapeutic targets, and unravel ways to provide better care based on the totality of high-quality evidence. A central focus of his work is on explainable AI to enhance clinical decision support and improve patient care.

Beyond clinical applications, Dr. Alahdab is also committed to strengthening research methodology. His scholarship includes meta-epidemiological studies, bibliometric analysis and investigations into scientific novelty, all aimed at advancing the rigor and transparency of medical research.

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Academic Information

Director of Graduate Programs in Health Inforamtics

Associate Research Professor

Associate Professor of Cardiology

Associate Professor of Biomedical Engineering

Office

810 Rollins St
Math & Sciences Bldg. 1st Floor
Columbia, MO 65211
United States

Research Interests

Predictive Modeling and AI Development
Causal Inference and Heterogeneity of Treatment Effects
Clinical Research in Cardiovascular Disease, Metabolic Health, Renal Disease, and Outcomes Research
Population Health and Epidemiology
Evidence Synthesis and Clinical Decision Support
Education Research & Novelty in Science

Areas of Expertise

Research Informatics
Machine Learning, AI Development and Evaluation
Clinical and Applied Informatics
Data-Driven Quality Improvement and Optimization
Systems Engineering and Process Re-design
Research Methods and Meta-Epidemiology
Evidence Synthesis and Guideline Development

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Education & Training

Degrees

2025, MS (Data Science), City University of New York (CUNY)
2019 MSc (Clinical and Translational Science), Mayo Clinic
2013 MD (Medicine), Damascus University

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Awards & Honors

Fellow of the American College of Cardiology (FACC) – 2026
Mentorship Excellence Award (MU) – 2025
Fellow of the American Heart Association (FAHA) - 2025
McWilliams Award in Health Informatics (UTH) - 2024
American Society of Nuclear Cardiology (ASNC) Young Leadership Program - 2023
Certified Sentinel of Science Award (Publons) - 2016
Outstanding Research Fellow Award (Mayo Clinic) - 2015
Appreciation Award (SAMS) - 2014
Gold Scholar Award (NEJM) - 2012

Society Memberships

American Medical Informatics Association (AMIA)
American College of Cardiology
American Heart Association
Society for Imaging Informatics in Medicine
Healthcare Information and Management Systems Society
American Society of Nuclear Cardiology

Courses Developed and Taught

BBME 7410: US Healthcare System for Health Informatics (course developer and director)
BBME 8510: Research Synthesis for Clinical Decision-Making: Systematic Review and Meta-Analysis (course developer and director)
BBME 8910: AI in Healthcare: From Design to Deployment and Oversight (course developer and director)
BBME 8090: Thesis Research in Informatics
TBS 9422: The translational biosciences journal club (course co-director)
SOM IPC4 (Introduction to Patient Care, Block 4): clinical epidemiology, diagnostic testing, and critically reading medical literature (co-facilitator)

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