Moritz Kraemer is a computational epidemiologist at the University of Oxford, and Associate Professor of Computational & Genomic Epidemiology. He's a recipient of the Branco Weiss Fellowship and Ruth L. Kirschstein National Institutes of Health (NIH) fellowship. He’s the co-director of the Oxford Martin Schools Programme in Pandemic Genomics, a recipient of the Google AI Faculty Award and the co-founder of Global.health, a data integration platform for open-access epidemiological and genomic data. Moritz research interests lie at the intersection of data-science, network science, climate science, epidemiology, public health and genomics. His work has been published in Science, Nature, The Lancet and featured widely in the New York Times, NPR, Economist, Der Spiegel, Financial Times, Nature & Science News. Moritz has given over 100 invited international talks and taught courses in data science & epidemiology at Oxford, MIT, Harvard, the University of Sao Paulo, the University of Hong Kong and Charite Berlin. His group’s work has been funded by the Wellcome Trust, Google.org & AI, The Rockefeller Foundation, NIH, and The John Fell Fund among others.
