Regular biography
Marcel Salathé is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Department of Computer Science. His research interests include digital epidemiology, with a focus on computational modeling and data-driven approaches to public health. He teaches courses such as Digital Epidemiology (BIO-512) and Navigating Risk and Uncertainty (ENG-809). Salathé also supervises PhD students and has directed the theses of several EPFL doctoral candidates. His work is supported by multiple affiliations within EPFL, including the AI Center and various research units.
Scholar-generated biography
Marcel Salathé is an Associate Professor specializing in digital epidemiology, applied machine learning, health & disease dynamics, and personalized nutrition. His research explores the intersection of data science and public health, focusing on infectious disease transmission, behavioral influences on disease spread, and the use of digital tools for health monitoring. He develops machine learning models for disease diagnostics, such as image-based plant disease detection, and investigates the role of social media in tracking public sentiment related to health crises. His work also addresses ethical challenges in big data and decentralized privacy-preserving technologies for contact tracing.