Dr. Mohammad A. Alkhamis is an assistant professor 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. Also, Dr. Alkhamis was an adjunct assistant professor at the University of Minnesota (2015-2020). 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.