Dr. Christian L. Althaus is a computational epidemiologist and head of the Interfaculty Platform for Data and Computational Science (INPUT) at the Institute of Social and Preventive Medicine (ISPM) of the University of Bern, Switzerland. After completing his studies in biology at ETH Zurich, he earned his doctorate in theoretical biology from Utrecht University in the Netherlands. In 2017, he qualified as a university lecturer in infectious disease epidemiology at the Faculty of Medicine at the University of Bern. Dr. Althaus employs mathematical and computational modeling alongside comprehensive data analyses to investigate how environmental changes and public health interventions influence the health of populations and the spread of infectious diseases. He is an expert on emerging infectious diseases and made major contributions to the better understanding of the transmission dynamics of Ebola, MERS, and COVID-19. He is a member of the Multidisciplinary Center for Infectious Diseases (MCID) and the Bern Data Science Initiative (BeDSI) at the University of Bern, and he served as a member of the Swiss National COVID-19 Science Task Force. Additionally, he chairs the Executive Board of the Swiss Network for Infectious Disease Dynamics (SNIDDY). Beyond academia, he also serves as Deputy Head of the Section for Emerging Infectious Diseases and International Cooperation at the Swiss Federal Office of Public Health (FOPH).