Welcome here! I am a researcher in infectious disease dynamics. 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 an Assistant Professor at The University of North Carolina at Chapel Hill, working within the Atlantic Coast Center for Infectious Disease Dynamics and Analytics (ACCIDDA), the Insight Net coordinating center. 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 just moved close to Chapel Hill, North Carolina. Don’t hesitate to reach out if you pass by the area, or even if you don’t. Happy to discuss anything related to ID modeling topics or academic life.
My research output finishes on GitHub or Google Scholar, if not buried in a computer folder.