European Space Agency (The Netherlands)
Project: Lunar Rover Traversability Analysis.
Tech: Conformal Prediction & Geometric Fusion.
Polytechnique Montréal (Canada) - GPA 4/4 Ranked
1st
Theorical and Applied AI, Natural Language Processing, Reinforcement
Learning, Programming, Mathematics.
Mines Saint-Étienne (France) - GPA 4/4 Ranked
1st
Computer Systems, Robotics, Artificial Intelligence, Electronics,
Cryptography, Signal Processing, Languages.
Head of Investment & Quantitative Strategy
Leading a team of 20 analysts managing $140k+ using AI and
quantitative analysis to optimize portfolio.
MPSI / MP*
Computer Science
Artificial Intelligence
My academic journey is defined by a dual focus: mastering the theoretical foundations of
mathematics and computer science in France, and applying them to cutting-edge research in
Artificial Intelligence and Robotics in Canada.
Risk-aware path planning through uncertainty quantification, fusing Adaptive Prediction Sets and Kandinsky calibration into spatially coherent risk maps for planetary rover navigation.
T. Gachet, L. Mansilla, D. Magnin · Accepted, SPAICE 2026A unified conformal calibration pipeline for dense multimodal semantic segmentation, applied symmetrically to 2D imagery and 3D LiDAR for reliable planetary rover perception.
T. Gachet, G. Beltrame · Preprint (arXiv) · Target: RA-L / ICRA 2026An epistemic-safe path planner that turns perception uncertainty into a continuous risk field, resolving the freezing-robot problem while minimising worst-case risk exposure.
T. Gachet, G. Beltrame · Preprint (arXiv) · Target: T-RO / ICRA 2026Interactive mineral exploration tool using TensorFlow for real-time rock identification and sustainability mapping (Flask, MongoDB, Streamlit).
Real-time financial platform powered by AWS and LLMs for portfolio optimization, sentiment analysis, economic synthesis, and board profiling.
Development of conversational agents, QA systems, and dependency-based parsing using neural networks and probabilistic models.
Diverse RL projects: from Tabular (MDP, Sarsa) to Deep RL (SAC, TD3, Rainbow). Implementation of Actor-Critic, Policy Gradients, and Model-Based architectures.
Python-based market analysis focusing on portfolio optimization, strategy backtesting, and metrics computation (Sharpe, Alpha, Beta).