Double M.Sc. in AI & Engineering

Théo Gachet

Artificial Intelligence | Robotics | Space Exploration

MY RESUME

Profile Overview

Double M.Sc candidate in AI (Canada) and Engineering (France), specializing in autonomous systems and uncertainty quantification. My research focuses on robust rover navigation through multimodal sensor fusion and risk estimation.

Théo Gachet ESA

ESA Research Intern

European Space Agency (The Netherlands)
Project: Lunar Rover Traversability Analysis.
Tech: Conformal Prediction & Geometric Fusion.

M.Sc. in Artificial Intelligence

Polytechnique Montréal (Canada) - GPA 4/4 Ranked 1st
Theorical and Applied AI, Natural Language Processing, Reinforcement Learning, Programming, Mathematics.

M.Sc. in Computer Science

Mines Saint-Étienne (France) - GPA 4/4 Ranked 1st
Computer Systems, Robotics, Artificial Intelligence, Electronics, Cryptography, Signal Processing, Languages.

Vice President @ PolyFinances

Head of Investment & Quantitative Strategy
Leading a team of 20 analysts managing $130k+ using AI and quantitative analysis to optimize portfolio.

Hours of Research in AI
GPA Since 2017
Under Management Using AI
Professional Experiences

Experience

CDPQ Global
Investment Group

AI & Quantitative Intern
Summer 2026

Engineering advanced NLP and ML pipelines to extract and analyze financial insights from unstructured data for asset management.

Montréal, Canada
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European
Space Agency

AI Research Intern
Summer 2024

Implemented uncertainty quantification and image segmentation methods to enable rovers to navigate autonomously on Mars under ambiguous terrain.

Noordwijk, Netherlands
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CNRS & Inria
(AI Institute)

ML Research Intern
2023

Designed Transformers and attention mechanisms for uncertainty and risk quantification using Ensemble techniques and Bayesian methods.

Paris, France
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Ministry of
the Armed Forces

Freelance Researcher
2023

Conducted an in-depth study of immersive technologies (VR, AR, MR) on their principles and future applications for defense and civilian use.

Paris, France
🇫🇷
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Internship Publication

"Enhancing AI Trustworthiness in Rover Navigation:
Risk-Aware Path Planning through Uncertainty Quantification"

Théo Gachet, Luis Mansilla, Diane Magnin - European Space Agency (ESTEC)
Accepted at the 2nd IAA Conference on AI in and for Space (SPAICE2025)
November 2025, Suzhou, China

Read Paper

Education

Academic background across France and Canada, focused on the intersection of theoretical mathematics and applied research in AI and Robotics for Space.

Bachelor's Degree

Lycée Saint-Louis
(CPGE Cursus)

Lycée Saint-Louis Logo
MPSI / MP*
GPA : 4.0 / 4.0
  • Intensive Mathematics
  • Advanced Theoretical Physics
  • Engineering Sciences, Philosophy
  • Acceptance Rate: < 2%

See Transcript

Sept. 2020 - Sept. 2022

Master's Degree

Mines de
Saint-Étienne

Mines Saint-Étienne Logo
Computer Science
GPA : 4.0 / 4.0
  • Computer Systems
  • Electronics, Microelectronics
  • Robotics, Automation, Cryptography
  • Languages, Business, Management

See Transcript

Sept. 2022 - Sept. 2024

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.

Master’s Research Thesis

"Uncertainty Quantification and Multimodal Semantic Fusion
for Safety-Critical Space Rover Navigation in Extraterrestrial Environments"

Conducted at MIST Lab and Mila - Quebec Artificial Intelligence Institute
Supervisor: Giovanni Beltrame

Mila Profile

Honors & Awards

Recognition for academic excellence, technical innovation, and leadership.

Certifications

Recommendations

Endorsements from research supervisors and industry professionals.

Projects

Last updated February 2025.

Interactive 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).

« Remember to look up at the stars and not down at your feet.

Try to make sense of what you see and wonder about what makes the universe exist.

Be curious. »


Stephen Hawking