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Welcome 🤗😊

I am a researcher in infectious disease dynamics where I develop models that combine scientific knowledge and state-of-the-art statistical methods to guide effective policies from noisy, incomplete, and often misleading data. Most of my work concerns COVID-19, seasonal influenza or cholera. I’m currently a post-doc with Justin Lessler and Jess K. Edwards at The University of North Carolina at Chapel Hill, working on hybrid mechanistic/statistical models. My current projects include:

  • flepiMoP (GitHub), an open-source flexible epidemic modeling pipeline that can simulate most compartmental models over a wide range of connected metapopulation setups. It has been used to track the COVID-19 pandemic and seasonal influenza, providing forecasts and scenarios to decision-makers around the world.
  • InfluPaint, where we inpaint epidemic curves generated by denoising diffusion probabilistic models, to produce forecasts of influenza transmission in the U.S.
  • SMIDDY, aimed to foster the community of infectious disease modelers in Switzerland 👯.

I’m usually working from Vevey in Switzerland🇨🇭. Don’t hesitate to reach out if you pass by the Geneva Lake area, or even if you don’t. Happy to discuss anything 🤔

Joseph Lemaitre's Projects

covidscenariopipeline icon covidscenariopipeline

Public shared code for doing scenario forecasting and creating reports for various governmental entities.

cuda-md icon cuda-md

Cuda parallelization of a Lennard-Jones fluid simulation written by W. Wieser. Written the scope of a project in Parrallel Computing and Pthreads@epfl

hopfieldnetwork icon hopfieldnetwork

Miniproject for the course Biological Modelling of Neural Network @EPFL

inpainting-idforecasts icon inpainting-idforecasts

Influpaint : Inpainting denoising diffusion probabilistic models for infectious disease (such as influenza) forecasting

wp-weddinglist icon wp-weddinglist

Modification of the wordpress plugin wp crowdfunding in a wedding list manager for French wedding

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