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.