Participation to the CEMRACS 2023 summer school on Scientific Machine Learning. After 1 week of summer school composed of lectures and practical sessions, I’ve been working for 5 weeks on a project on Conformal prediction for data-driven and physics-based prognostics algorithms. This project led to the publication of a paper called “CONFORMAL APPROACH TO GAUSSIAN PROCESS SURROGATE EVALUATION WITH MARGINAL COVERAGE GUARANTEES”.