Dr. Mohammad A. Alkhamis is an assistant professor at the Department of Epidemiology and Biostatistics, Faculty of Public Health, Kuwait University. He is also an adjunct assistant professor at the University of Minnesota, Twin cities.
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.
Topic: Clinical applications of machine learning algorithms in the future of surgery