Education

My past as a scientist.

Postdoctoral fellow
Postdoctoral fellow
2020 - 2021
Development of methods to improve clinical trials for neurodegenerative diseases Paris Brain Institute - Inria
Advanced Machine Learning Deep Learning Statistical Learning From Theory to Practice Python Library Clinical Trials
PhD
PhD
2016 - 2020
Statistical learning of spatio-temporal trajectories based on longitudinal data - application to neurogedenerative diseases. ICM - CMAP - EDMH
Machine Learning Statistical Learning Riemannian Geometry Deep Learning MCMC Methods EM-like algorithms
Master Data Science - Institut Polytechnique de Paris
Master Data Science - Institut Polytechnique de Paris
2015 - 2016
Theoretical courses in maths, various machine-learning projects and hackathons-like sessions. Ecole Polytechnique, Université Paris-Saclay, Télécom Paris, ENSAE. Website.
Advanced Machine Learning Convex optimization Deep Learning Statistical Learning Compressed Sensing Hackathons
Master of Science in Engineering - Ecole des Ponts et Chaussées
Master of Science in Engineering - Ecole des Ponts et Chaussées
2012 - 2016
Top engineering school (Grande Ecole) with a strong mathematical track. Website.
Probabilities & Statistics Analysis Operational research Scientific computing Programming C++ Design Thinking
Bachelor of Science in Applied Economics - Dauphine
Bachelor of Science in Applied Economics - Dauphine
2014 - 2015
Applied Economics bachelor - Track for Grand-Ecole students
Macroeconomics Microeconomics Econometrics
Civil Engineering Internship - GeorgiaTech
Civil Engineering Internship - GeorgiaTech
2013 (5 months)
Four months internship in a Civil Engineering Laboratory. Published paper : Comparison between geometrical and dynamic particle packing - presented at a Symposium in London

Civil Engineering Numerical modeling Simulations
Feel free to contact me !