Rate My Professor Moritz Kraemer

Kraemer completed his DPhil in Epidemiology and Biostatistics at the University of Oxford in 2017, followed by a National Institutes of Health research fellowship at Harvard Medical School and Boston Children’s Hospital in biomedical informatics from 2017 to 2018. His career at Oxford includes post-doctoral research in evolutionary biology and infectious diseases (2016-2017), associate membership in the Department of Zoology (2017-2022), Associate Professor of Computational and Genomic Epidemiology in Zoology (2022-2024), and promotion to full Professor in Biology in 2024. He has received multiple Google AI Impact Awards for advancing AI and machine learning in health research, the Branco Weiss Fellowship, and scholarships from the German National Merit Foundation and DAAD. Key publications include 'Artificial intelligence for modelling infectious disease epidemics' (Nature, 2025), 'The effect of human mobility and control measures on the COVID-19 epidemic in China' (Science, 2020), 'Spatiotemporal invasion dynamics of SARS-CoV-2 lineage B.1.1.7 emergence' (Science, 2021), 'Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus' (Nature Microbiology, 2019), and 'Toward optimal disease surveillance with graph-based active learning' (PNAS, 2024). Kraemer leads an interdisciplinary team developing scalable software for epidemic analysis and supervises DPhil students.