Wednesday, 11 Mar
11:45-12:30
Damien Perret is an R&D expert scientist at the French Alternative Energies and Atomic Energy Commission (CEA), where he works on advanced material formulation for nuclear waste conditioning. His work focuses on developing statistical methods for mixture experiment design and property–composition predictive modeling. He holds a PhD in materials science. He served on the Discovery Summit Europe Steering Committee from 2015 to 2018 and has been a member of the JMP French Users Group Committee since 2011, which he has been leading since 2025.
Presentations
-
Smart Subsampling for Predictive Modeling: A Decade of Progress in Material Science (2026-EU-30MP-2798)
- Smart Subsampling vs. Brute Force: A Strategic Approach to Predictive Modelling (2025-EU-30MP-2171)
- Innovative Approaches Using JMP: Two Case Studies on Predictive Modeling and Simulations (2023-EU-30MP-1295)
- Advanced Statistical Methods Applied to Glass Viscosity Prediction With JMP® (2021-EU-30MP-743)
- Using the New Functionalities of JMP® Pro 11 to Develop Glass Formulations for High-Level Nuclear Waste Conditioning: Mixture Designs and Predictive Models