Funded projects
I am involved in the ANR Project ROMEO (2021-2024 — partnership between Thales Research & Technology and IMT)
Research interests
- Uncertainty quantification: conformal inference.
- Spatial point processes: determinantal point processes, spatial statistic.
- Applications: computer experiments, Monte-Carlo experiments.
And still
- Mutation models: population dynamic, Luria-Delbrück model, inhomogeneous modeling.
- Fluctuation analysis, estimation of mutation probability.
- Applications: microbiology, multidrug resistance.
Supervised students
- Iain Henderson, Conformal inference for drone trajectories forecast (Postdoc since Nov 2023, co-supervision with Fabrice Gamboa)
- Léo Andéol, Conformal prediction for uncertainty quantification in object detection and other complex learning tasks. (CIFRE PhD at SNCF-ANITI since Sep 2022. Co-supervision with Sébastien Gerchinovitz, Fabrice Gamboa, Laurent Gardès, and Cédrick Lelionnais)
- Jean-Baptiste Fermanian, Inhomogeneous Determinantal point processes for Monte-Carlo integrations (MsC, 2019, co-supervision with Jean-François Coeurjolly)