I am Maximilien, a computer science student combining theory with applied engineering (C++ systems, Julia/Python scientific computing). Open to internship opportunities in R&D, machine learning and software engineering, based in Geneva, Switzerland. Currently building an EEG-based machine learning pipeline for seizure detection in epileptic patients.
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seizureDetection - Work-in-progress EEG machine learning project exploring preprocessing, entropy based features, artifact removal, and neural network architectures for seizure detection and classification.
Keywords: Python, NumPy, PyTorch, EEG, Digital Signal Processing, CNNs, Feature-Wise Linear Modulation (FiLM), Wavelet Transforms -
wildfireSim - An ecosystem simulator that models vegetation growth with a stochastic cellular automaton, wildfires triggered by lightning strikes and predator–prey interactions.
Keywords: Julia, Modeling, Stochastic cellular automata, ODE discretization, predator–prey dynamics, multi-scale system, Percolation Theory. -
radioactiveSim - A C++ radiation‑shielding simulator with Barnes–Hut acceleration and ParaView-ready output.
Keywords: C++, Doctest, Doxygen, Barnes–Hut algorithm for electrodynamics, Particle transport simulator, ParaView, lazy data structures. -
DEBUG_MODE — Lightweight C++ debugging helper with variable tracking; non-intrusive and easy to integrate for faster iteration.
Keywords: C++, Preprocessor metaprogramming, System design.
- Mandelbrot Set — High-resolution smooth-color renderer of the Mandelbrot set in Julia.
- Quantum Teleportation — 1‑qubit implementation of the quantum teleportation protocol using Qiskit.
(1) A radiation shielding simulation where the cube is the shield. (2) Mandelbrot set fractal renderer. (3) Simulation of Bernoulli site percolation on a square lattice with von Neumann neighborhood. (4) An interactive ecosystem simulator (wildfireSim).
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(4) 1-qubit quantum teleportation circuit.
(5) Sierpiński triangle generated by rule 90 (elementary cellular automaton).