Assistant Professor at University of North Carolina at Chapel Hill
Chapel Hill, North Carolina, Switzerland
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Joseph Lemaitre is an infectious disease modeler and assistant professor with 13 years of experience building hybrid mechanistic/statistical tools to turn noisy epidemiological data into actionable policy insights. Trained at EPFL (PhD) and now at UNC Chapel Hill, he has led open-source projects—flepiMoP for flexible compartmental metapopulation simulations and InfluPaint for diffusion-based epidemic curve inpainting—that have supported COVID-19 and influenza forecasting worldwide. His work spans cholera, seasonal influenza, and COVID-19, combining computational science, probabilistic modeling, and applied public-health decision support. Known for bridging rigorous theory with practical pipelines, he also helps cultivate modeling communities (e.g., SMIDDY in Switzerland) and has a background in satellite-based data automation, reflecting a knack for integrating diverse data streams into robust models.
13 years of coding experience
5 years of employment as a software developer
Master’s Degree, Computational Science and Engineering, Master’s Degree, Computational Science and Engineering at Ecole polytechnique fédérale de Lausanne
Doctor of Philosophy - PhD, Infectious Disease Dynamics, Doctor of Philosophy - PhD, Infectious Disease Dynamics at École polytechnique fédérale de Lausanne
Forecast submission fork for the inpainting forecast model
Contributions:92 pushes in 11 months
forecastingprophetinpaintingforecast
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Joseph Lemaitre - Assistant Professor at University of North Carolina at Chapel Hill