CV

PhD in Applied Mathematics and Machine Learning

• Learning methods for mean-field models, application to electricity consumption control

Masters 2 MVA - Mathematics, Vision and Learning

• Relevant coursework - Reinforcement Learning, Sequential Learning, Convex Optimisation, Kernel Methods, Optimal Transport, Random Matrices, Graphs in machine learning

M.Sc. and B.S. in Applied mathematics (French engineering school)

• Specialisation in applied mathematics
• X2018 Ingénieur Polytechnicien

B.S. in Mathematics and Physics

Research and development intern

• Sequential learning methods for mean-field models, application to power consumption control

Research intern

• Stochastic modelisation and data analysis of the incentive policy of a car-sharing system by Markov processes and mean-field analysis.
• Research internship prize from Ecole Polytechnique

Research and development intern

• Developing and implementing algorithms for well drilling. Also implemented a graphical interface joined into the company software

Times series

• Master 1 level
• Instructor - Yannig Goude