EUROCIM 2024
Julie Josse is invited to give a talk at the European Conference on Causal Inference and Jeffrey Näf presents Causal Distributional Random Forest.
Visit from Krystyna Grzesiak and Michal Burdukiewicz
Krystyna Grzesiak from University of Wroclaw and Michal Burdukiewicz from Autonomous University of Barcelona are both visiting the team in the upcoming days.
2023 IMS International Conference on Statistics and Data Science
Large part of the team attended the great conference in Lisbon to give talks and we also organized a session on missing values.
Launch of the Digital Health PEPR SMATCH project
The Digital Health PEPR , launched in June 2023 as part of the Health Innovation Plan 2030, is a major initiative in the “Digital Health” acceleration strategy with a programme dedicated to stimulating scientific research in this field. SMATCH “Statistical and AI Methods for the Challenges of Modern Clinical Trials…
6 december 2023 Phd’s day!
We organized a day between Premedical thesis students and students of Raphael Porcher and François Petit from the cress Methods team on causal inference methods.
Team retreat: 2 days with the Traumatrix project
For two days we gathered to test the machine learning methods that will be implemented in a decision support tool for major trauma care. A clinical trial will be launched to test the tool in sixteen dispatch centers in France. It is supposed to improve the triage of major trauma…
Margaux Zaffran received the l’Oreal Unesco Young talent prize!
This award rewards her PhD thesis on probabilistic forecasting (conformal prediction). This is a way to encourage women in science. Read her interview!
Nice tutorial on conformal prediction!
by Margaux Zaffran: https://mzaffran.github.io/assets/files/Talks/Tuto_CP_ENBIS_ECAS.pdf
Aurelien Bellet is joining PreMeDICaL
Aurélien Bellet, a “Directeur de Recherche” at Inria, leader in the field of Federated Learning is joining PreMeDiCal at the begining of August 2023. The team is extremely pleased to welcome him. Besides Federated Learning, Aurélien also works on privacy and fairness in machine learning, and more generally optimization for…
Benedicte Colnet has defended her PhD
On Wednesday 28 of June 2023. Title: Generalizing a causal effect from a trial to a target population. Jury: Nicolai Meinshausen (ETH Zürich) Stinj Vansteelandt (Ghent University) Trevor Hastie (Stanford) Erwan Le Pennec (École polytechnique) Elizabeth Ogburn (John Hopkins) Philippe Ravaud (Paris’ hospitals)
