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Marc Chadeau is a Professor at Imperial College London, specializing in Computational Epidemiology and Biostatistics within the School of Public Health. His primary research interest lies in applying novel statistical approaches to answer biologically and epidemiologically driven questions. His work focuses on developing computationally efficient models that integrate high-throughput data and dynamic models of disease progression that identify key features driving disease dynamics. He earned his PhD in statistics from the University of Paris XI in 2005 while working on modeling the French epidemic variant of Creutzfeldt-Jakob disease. Since joining Imperial College in 2005 as a Research Associate, he has progressed to a Research Fellow and is now a Professor. He has an extensive background in disease modeling, with post-doctoral research that emphasized the development and application of statistical models to analyze OMICs data. Chadeau has supervised PhD students and has developed courses like the MSc in Health Data Analytics and the Exposome short course series, where he leads specific modules.
Imperial College London • London, United Kingdom
Leading research and teaching in computational epidemiology and biostatistics, focusing on the development of statistical models and integration of OMICs data.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.