Welcome to this website! 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 if you don’t. Happy to discuss anything related to ID modeling topic or academic life.
My research output finishes on GitHub or Google Scholar, if not buried in a computer folder.