Education

University of Montreal (Started January 2023)
PhD student working under Pr. Yoshua Bengio on AI for scientific discovery

Paris-Saclay University - Ecole Normale Supérieure de Paris-Saclay (2020 – 2021)
Msc. in Mathematics, Vision & Learning (known as MVA)

Paris-Saclay University - CentraleSupélec Graduate School (2017 - 2021)
MEng. and BEng. in Applied Mathematics And Data Science

Lycée d’Excellence MPSI-MP* (2015 - 2017)
Intensive Undergraduate Courses in Mathematics, Physics and Engineering Science

Research and Industry Experience

Mila - Québec AI Institute Montréal (May 2021 - December 2022)
Visiting Student supervised by Professors Yoshua Bengio & Loubna Benabbou

Developped “MAgNet”, a Mesh-Agnostic architecture for solving Partial Differential Equations and generalizing across unseen meshes and resolutions (Accepted at Neurips 2022)
Worked on developping SAF, an algorithm for improving coordination in heterogenous Multi-Agent Reinforcement Learning (MARL) and introduced HECOGRID, an environment suite focused on understanding coordination and heterogeneity in MARL environments (Accepted at ICLR 2023)

ENVESTBOARD, Fund Solution Provider Paris (July 2019 - December 2019)
Data Science Intern

Used Natural Language Processing to predict funds and shares characteristics
Achieved 90% accuracy on average across all classification tasks
Used computer vision techniques using the opencv library to segment PDFs into bounding boxes and perform OCR on each box for data extraction

Quantum Physics Teaching Assistant at CentraleSupélec

Languages: Python, Java, Bash
Frameworks: Git, PyTorch, PyTorch-Lightning, DGL, Scrapy, OpenCV