Mohammad Alkhamis, DVM, MPVM, PhD
DVM, School of Veterinary Medicine and Animal Resources, King Faisal University, 2004
MPVM, School of Veterinary Medicine, Health Science Center, University California Davis, 2009
PhD, Epidemiology, quantitative methods, University California Davis, Health Science Center, 2014
Mohammad A. Alkhamis is an assistant professor at the Department of Epidemiology and Biostatistics, Faculty of Public Health, Kuwait University. Dr. Alkhamis is a quantitative epidemiologist, and his scientific expertise includes statistical learning, Bayesian statistics, big data, one health and applications of advanced epidemiological methods in disease surveillance, control, and prevention. His current research interests include tracing the origins and dispersal of infectious pathogens using Bayesian phylodynamic methods and applications of machine-learning methods in infectious disease prediction and mapping.
Dr. Alkhamis has collaborated with national and international organizations (OIE, FAO, USDA, DHS, NPB) on projects related to the applications of advanced surveillance methods on transboundary infectious diseases. He is currently advising higher governmental members and committees of the State of Kuwait on the COVID-19 pandemic.
Primary affiliation: Assistant professor of epidemiology, Department of Epidemiology and Biostatistics, Faculty of Public Health, Kuwait University
For listing of recent publications, refer to Dr. Alkhamis's profile on ResearchGate.