Embedded Files
Group Photo, December 2024
We study statistics, machine learning, and simulation from theoretical, methodological and applied viewpoints. Recent research topics include
Gaussian processes and reproducing kernel methods in machine learning, statistics and numerical analysis.
Statistical learning methods for validating, comparing and accelerating simulators.
Applications in simulating tsunamis, storm surges, traffic systems, fluid dynamics, and pension funds.
Variable selection, two-sample testing, missing value imputation, causal inference.
Ph.D. students:
Parastoo Pashmchi (2023 - Present; CIFRE with SAP)
Nugzar Gognadze (2023 - Present; funded by National Institute for Environmental Studies, Japan)
Research Engineer:
Mobina Talebinamvar (2023 - Present; funded by the Monaco Government)
Past Members:
Kensuke Mitsuzawa (2021 - 2024; now a postdoctoral researcher at Université Côte d'Azur)
Fangyuan Zhang (2022- 2023; now a Senior Research Engineer at EDHEC Business School, France)
Wilfredo-Joshua Robinson-Moore (Oct 2021 - Nov 2022; now a PhD student at Saint Louis University, United States)
I am currently not accepting interns.
Group photo (April 2025)
with the chef of Le Potager
Google Sites
Report abuse