Resume

MD Public Health, MSc Data Science. My medical training and passion for programming have led me to develop a broad skill stack: machine learning, epidemiology and clinical research, healthcare interoperability, development of decision tools for crisis management, web development... and coffee brewing.
Experience
- KiroHead of Science · 2020-06 → today
Development, deployment and evaluation of machine learning models on biological tests data.
- AP-HP - WIND-DSIData scientist & Medical advisor · 2020-11 → 2020-04
Internship with the Big Data Platform and Data Quality teams for global data consolidation in the datalake.
- Ministry of Social Affairs and Health - DGSCrisis management · 2020-02 → 2020-05
Programming of decision support and epidemics surveillance tools. Operational help for the orchestration of inter-regional and international ICU patient transfers.
- Ministry of Social Affairs and Health - DREESData scientist · 2019-11 → 2020-01
Production of morbidity indicators for EU regulators (Eurostat) from the national SNDS claims database. Conversion of the SNDS database to the OMOP CDM standard.
- AP-HP - DIM Paris-Sud + WIND-DSIMedical Information Physician · 2019-05 → 2019-10
Development of a visualization webapp for claims data and of a model for ICU readmission prediction.
- CMAP École PolytechniqueData scientist · 2018-04 → 2019-04
Internship with the partnership of Ecole Polytechnique and the National Health Security (Pr Bacry) for weak signal detection in adverse drug effects detection on the national SNDS claims database.
- INSERM - UMR 1018Epidemiologist · 2017-05 → 2017-10
Internship with the EpiAgeing team (Pr Singh-Manoux and Dr Elbaz). Evaluation and analysis of midlife risk scores for dementia on the Whitehall II cohort.
- Imagine Institute of Genetic DiseasesBiostatistician · 2016-11 → 2017-04
Internship with the Biostatistics Unit of Necker hospital and Imagine Institute (Pr. JP Jaïs). Survival study and risk score evaluation for ALCL ALK positive lymphomas.
- Karolinska InstitutetExchange student · 2013-02 → 2013-06
Internship with the Lallemend lab, Department of Neuroscience.
Education
- École Polytechnique2017-09 → 2018-07
Master of Science - Applied Mathematics, Data Science track
- Paris-Saclay University2016-09 → 2017-07
Master of Science - Public Health
- Sorbonne University2009-09 → 2021-10
Medical Doctorate - Public Health
Skills
Data { sci-eng-viz }
Public Health
Medicine
Web Development
Scientific publication
Awards
French Brewers Cup Champion · 2014
Swedish Aeropress Champion · 2013