Bio

Starting in August 2025, I will be an assistant professor of statistics at the University of British Columbia in Vancouver.

I was borned and raised in Paris, France. My high-school degree was in Science, with a specialty in Mathematics.

I then moved to the U.S and studied Physics at Yale University. I did research in Astronomy with the exoplanet group, under the supervision of professor Debra Fischer and Dr. Ji Wang.

After graduating, I joined Metrum Research Group, a biomedical lab that specializes in modeling and simulation. There, I completed a one-year Pharmacometrics bootcamp in Hartford, CT, and continued as a visiting scientist for another year, in Boston, MA. I worked closely with Bill Gillespie on the mathematical modeling of biomedical processes, with an emphasis on Bayesian inference and its computational implementations.

From 2017 to 2022, I pursued a PhD in Statistics at Columbia University and wrote a PhD thesis on Markov chain Monte Carlo and Bayesian modeling. My advisor was professor Andrew Gelman.

From 2022 to 2025, I was a postdocotoral research fellow at the Flatiron Institute, Center for Computational Mathematics, in New York. My primary affiliation was with the Computational Statistics group. I was also part of the institute’s greater research effort in Machine Learning.

Hobbies

While in New York, I did competitive ballroom dancing with some wonderful people at Columbia University and in New York. I’m always down for a game of pick-up soccer and occasionally I play in a league.

As an undergraduate, I was a member of Just Add Water, a comedy group that does short form and musical improvisation. In Hartford, I co-founded the Albatross, which still plays at the Sea Tea theater. I have not been improvising on a regular basis lately, but I attend the occasional jam (and I still “follow the fear.”)