I am a recent graduate from both ENSTA Paris engineering school and Mathematics Vision Learning (MVA) master's program, specializing in Applied Mathematics and Computer Science. Additionally, I had the opportunity to take cutting-edge courses in the Analysis, Modeling, Simulation (AMS) master's programme, which strengthened my knowledge of HPC and physical modelling from the perspective of an applied mathematician. I am also passionate of physics, especially astrophysics🌌 and plasma physics⚛.
At the Center for Data Science, I develop strong theoretical foundations in state-of-the-art data science while gaining hands-on experience in practical computer science and engineering. My main research interests lie at the intersection of generative modeling, partial differential equations (PDEs) and statistics, with a particular focus on their computational and mathematical aspects.
I am currently a first year PhD Student at Ecole Normale Supérieure in the Department of Mathematics and Applications.
Among the project I carried out, my repositories contain:
- Rewrite various machine learning algorithms from scratch using only NumPy
- Massive Parallel computing in CUDA for exotic option pricing
- Finite elements PDE solver for Wave equation and Laplace equations with error analysis in Sobolev norms. A non-conformal method is explored.
- My projects at Master MVA
- Cosmology and the self-gravitating collapse of a dead star
- Coding in C++ Chess & Tic-Tac-Toe games embedded with a Minimax algorithm to play against the computer
- A mini Linux Shell written in Python to understand the inner working of the Linux OS (pipe, process, fork...)
- đź“« How to reach me: hugo.negrel@ens.psl.eu