GENERATiVE MODEL FOR SYNTHETiC LONGiTUDiNAL HEALTH DATA WiTH STATiC COVARiATES INTEGRATiON
Funding from MediTwin consortium INRIA / Dassault Systemes Healthcare
DÉTECTiON D’EFFETS iNDÉSiRABLES À LONG TERME À PARTiR DE DONNÉES MEDiCO‐ADMiNiSTRATiVES
Funding from AMIES ‐ CDD Passerelle
Co‐supervised with with Anne‐Sophie Jannot (INSERM, INRIA, AH‐PH)
Paris Cite Univ.Funding from MediTwin consortium INRIA / Dassault Systemes HealthcareCo-supervised with Sandrine Katshaian (INSERM, INRIA, AH-PH)Evaluation of the contribution of the use of artificial intelligence in the French organized breast cancer screening programParis Cite Univ.Funding from research contract with EpiconceptCo-supervised with Sandrine Katshaian (INSERM, INRIA, AH-PH)Quantitative Bias analysis and model misspecification in causal inferenceParis Cite Univ.Funding from research contract with SanofiCo-supervised with Sandrine Katshaian (INSERM, INRIA, AH-PH)Causality in high dimensional joint longitudinal modelsParis Saclay Univ.Funding from Ecole Normale Supérieure, ParisCo-supervised with Anne-Sophie Jannot (INSERM, INRIA, AH-PH)Integrating longitudinal data for enhanced survival analysis: methods and applicationsParis Cité Univ.Funding from research contract with CalifraisCo-supervised with Adeline Fermanian (Califrais)Sensitivity analysis for generalized linear models and survival modelsParis Saclay Univ.Funding from FMJHCo-supervised with Marie-Luce Taupin (Evry Univ.)Dynamic survival prediction for the optimization of individualized surveillance planning for cancer patientsParis Cite Univ.Funding from research contract with Dassault Systemes HealthcareCo-supervised with Sandrine Katshaian (INSERM, INRIA, AH-PH)Machine learning for longitudinal causal modelsParis Cite Univ.Funding from research contract with CEMKACo-supervised with Sandrine Katshaian (INSERM, INRIA, AH-PH)Deep learning for estimating the individual treatment effect in a longitudinal contextParis Saclay Univ.Funding from research project ANR UDOPIACo-supervised with Blaise Hanczar (Evry Univ.)Introduction of high-dimensional interpretable machine learning models and their applicationsSorbonne UniversityFunding from Sorbonne UniversityCo-supervised with S. Gaiffas (Univ. Paris) and Anne-Sophie Jannot (Georges Pompidou European hospital)Doctor Norbert Marx Award 2019 (French Statistical Society), PhD Thesis Award Daniel Schwartz 2020 (French Biometric Society)Now co-founder and CTO at CalifraisRobust statistical learning with multi-testing guaranteesÉcole polytechniqueFunding from Ecole Normale Supérieure Paris SaclayCo-supervised with E. Bacry (École polytechnique, CNRS) and S. Gaiffas (Univ. Paris)Now teacher of mathematics at Institut Villebon - Georges Charpak, Palaiseau, FranceNon-parametric statistics for solvency insurance calculatorsSorbonne University Funding from research contract with PwCCo-supervised with Olivier Lopez (Sorbonne Univ.)Now Associate Vice President - Head of Financial Risk Management at Prudential Vietnam Assurance Private Ltd.Big data approaches for modeling player retention and monetizationCNAMFunding from research contractCo-supervised with Stephane Natkin (CNAM) and Guillaume Levieux (CNAM) Now Head of Data and Science at DoleadSegmentation of counting processes and dynamic modelsSorbonne UniversityFunding from Sorbonne UniversityCo-supervised with S. Gaiffas (Univ. Paris) Now Assistant Professor of Statistics and Machine Learning at University of Technology of Compiègne.Dimension reduction in survival analysis. Application in genetic and genomic statistics.Sorbonne UniversityFunding from Sorbonne UniversityCo-supervised with M.L. Taupin (Univ. Evry)Now Assistant Professor of Statistics and Machine Learning at Centrale Supelec