معرفی
Didier Gemmerlé is a CNRS Research Engineer affiliated with the Institute Élie Cartan de Lorraine (IECL) at the University of Lorraine's Faculty of Science and Technology. His work bridges Probability and Statistics with computational methods, focusing on spatial point processes, Bayesian inference, and machine learning applications in astrophysics and paleobiology.
- Research Areas: Point Processes, Reinforcement Learning, Causality, Neural Networks, Galaxy Distribution Modeling
- Responsibilities: Head of IT Infrastructure, CNRS/University signature delegations, Mathrice network member
His recent publications emphasize computational frameworks for spatial statistics and cosmology. He actively contributes to open-source tools like DRlib (C++) and Treex (Python). Mentoring across M2 IMSD projects and co-supervising doctoral students (e.g., Nathan Gillot) highlights his advisory role. Current involvements include the European Twinning EXCOSM project for cosmological research.
