Grants
Funding
2023 – 2024 – Principal investigator (in Computer Science), project ScoreLearn: learning scoring models for metabolic status prediction funded by the Institute of Engineering for Health (IUIS, SU), collaboration with the Pitié-Salpêtrière hospital
2022 - 2023 - PHC Amadeus, bilateral project, France-Austria
2018 - 2022 - Coordinator of ANR Jeune Chercheur DiagnoLearn (Learning Interpretable Models for Medical Diagnostics)
2020 - Grant for a Master 2 internship from l'UFR d'Ingenierie, Sorbonne university
2019 - Coordinator of CNRS/INSERM Santé Numérique project Modelling metabolism of intestinal microbiome by multi-omics statistical data integration
2017 -- 2018 Coordinator of ICAN Innovative seeding grant Probabilistic Data Integration for Personalized Medicine
2016 - ICS@SU grant for bi-masters programme (two Master 2 students hired)
2013 - Coordinator of RNSC (Reseau National des Systemes Complexes) BayesOmique dedicated to application of Bayesian networks to omics data
2012 - New Staff Research Grant 2012 (Macquarie University, Australia)
I am (was) a member of
2018 - PEPS Machine Learning for Hydride Compounds Prediction MaLeFHYCe (coordinator: J.-C. Crivello)
2018 - PEPS Explicabilité des modèles preédictifs dans le domaine juridique EMOJI (coordinator: F. Tarissan)
2012 - 2018 MetaCardis European FP7 Project (coordinator: K. Clément)
2016 - 2020 ProteoCardis ANR Project (coordinator: K. Juste)
2017 - PEPS Random matrix theory for machine learning with M. Kharouf and T. Rebafka (coordinator: T. Rebafka)
2016 - PEPS Spectral methods for machine learning with M. Kharouf and T. Rebafka (coordinator: T. Rebafka)
I (co)-organised
2018 - Workshop Artificial Intelligence for Materials Science (co-organised with J.-C. Crivello)
2018 - Statistical Advances for Real Data Problems, mini-conference (with T. Rebafka and M. Kharouf)
2013 - Workshop Apprentissage et données omiques at CAp