Gideon Gogovi, PhD, MS, Mphil.

Gideon’s research employs multi-scale computational frameworks spanning molecular mechanisms to population dynamics. At the molecular level, he uses molecular dynamics (MD) simulations to elucidate protein-ligand and protein-protein interactions, providing an atomic-level understanding of biomolecular behavior and structure-process-property relationships underlying disease pathogenesis. At the individual level, he develops interpretable machine learning (ML) models for health data science for personalized predictions and pattern discovery. At the population level, he develops epidemiological models using compartmental approaches to study disease transmission dynamics and evaluate intervention effectiveness. This approach prioritizes translating insights from MD simulations, ML models, and computational epidemiological modeling to advance scientific understanding and inform disease control strategies.

For more information, visit his website

Education

• George Mason University, PhD. Computational Sciences and Informatics
• West Virginia University, MS. Mathematics
• Kwame Nkrumah University of Science and Technology, MPhil. Applied Mathematics
• University of Cape Coast, BSc. Mathematics

Areas of Research and Publications

• Structural Biology and Molecular Dynamics
• Computational Biology and Bioinformatics
• Machine Learning for Health Data
• Computational Epidemiology

View Gideon K. Gogovi on Google Scholar

Courses