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Léo BECHET

PhD student at Uppsala University

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About Léo BECHET

Personal Introduction

Hello! I am Léo Bechet, a computational physicist and AI enthusiast with a strong passion for astronomy, optics, and computer science. Curious and analytical, I thrive on complex technical challenges and enjoy exploring interdisciplinary scientific problems. I am fluent in English (C1+) and French (native), with basic knowledge of Spanish and Japanese.

Professional Introduction

I hold a Master's degree in Computational Physics and am pursuing a PhD in energy-efficient algorithmic solutions. I specialize in computational physics, AI, and neural network development. My work blends scientific research with practical software development, including high-performance simulations, GPU programming, and hybrid neural network training methods.

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Featured Projects

FeatherPress

A lightweight Node.js server designed to serve Markdown files as HTML web pages, featuring template injection, category indexes, syntax highlighting, LaTeX support, and flexible content organization.

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Cellular Automata

A Python-based implementation of multiple Cellular Automata. The system supports CUDA kernels and implements hardware acceleration using GPU.

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Monte Carlon Rate-Equations

A high-performance Python simulation of particle aggregation using Numba for parallel processing. Features a custom multi-pass grid update and analysis with DFS and parallel Union-Find.

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N-Body using Fortran OpenMP and OpenACC

A high-performance Fortan N-Body simulation. The project contains a single threaded, a multi-threaded CPU OpenMP, and an OpenACC GPU approaches. Results can be verified using the conservation of energy.

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Contact Léo BECHET

To discuss a potential project or to learn more, please get in touch.

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