Specialization year (Master 2), graduated with highest honors, 12 courses validated
Statistical learning, Learning for text and graph data, Probabilistic graphical models, Distributed and large scale optimization, Time series, Computational statistics, Reinforcment learning, Generative models for images, Deep learning for medical imaging
École nationale des Ponts et Chaussées — Engineering degree — 2020-2024
Student in the track Applied Mathematics and Computer Science (Master 1)
Studying for the selective exams for entry to top french engineering schools
Mathematics, Physics, Computer science
Work experience
AI Research Associate — JP Morgan Chase — February 2025 - Present
Researcher in the AI Research team
AI Research Scientist intern — JP Morgan Chase — April 2024 - September 2024
Worked on LLMs (Large Language Models) for mathematical reasoning tasks
Publication at MATH-AI 2024 (NeurIPS conference) — outstanding paper award
Developed a custom symbolic algebra system for synthetic data generation in natural language
Developed a meta-programming framework in Lean for synthetic data generation through forward reasoning
Data Scientist intern — EDF — January 2023 - July 2023
In charge of the conception and realization of a tool for anomaly detection in time series
Designed a benchmark of anomaly detection methods
Developed an API exposing anomaly detection methods with database anomaly storage
Developed a web interface for the visualization of the spotted anomalies
Software Engineer intern — Theodo — June 2022 - December 2022
Full stack developer (AWS Serverless / Symphony / Spring Boot — React / Angular)
Developed in an agile environment
Developed a back-office for an e-commerce player: a platform to integrate new products into their database with a system to recognize existing products
Developed a support platform aimed at business owners for an investment bank
