Outreach
Science communication, winter schools, and hackathons.
National Science Communication Winner
Ma Thèse en 180 secondes (MT180)
CompetitionMa Thèse en 180 secondes is a national science communication competition where PhD students present their research — in just three minutes, to a general audience, with a single slide.
I took the stage to explain how machine learning can predict tire quality in real time on the factory floor, and why knowing *when not to trust* a prediction matters just as much as the prediction itself. Distilling three years of mathematics into three minutes of storytelling was one of the most rewarding challenges of my PhD.
Winner of the Public's Choice Award at the IP Paris local competition, earning selection to represent IP Paris at the national finals alongside Amelie Kies.
Date: April, 2025
Location: École Polytechnique
Audience: General public & academic jury
Language: French
Duration: 180 seconds
Format: Oral presentation
The Challenge
Soft sensors, latent spaces, conformal prediction — none of these mean anything to a general audience. The real challenge was finding the right image: a pastry chef who must consistently deliver the perfect dish, even though the recipe is unknown and the ingredients keep changing. That's rubber manufacturing at Michelin, and the heart of my research.
What I Learned
Preparing for MT180 fundamentally changed how I communicate my research: not just on stage, but in every meeting, every paper introduction, every conversation with non-specialists. Finding the right story forced me to strip away jargon and focus on what truly matters. If you can't explain it in three minutes, you probably don't understand it well enough yourself.
Winter Schools
ECAS - SFdS 2025
Towards Reliable Machine Learning — Transfer and Physics Informed Learning, and Conformal Prediction.
A five-day deep dive organized by the French Statistical Society (SFdS) into two pillars of reliable ML: transfer and physics-informed learning for data-efficient models, and conformal prediction for distribution-free uncertainty quantification, both directly relevant to my PhD research.
December 1-5, 2025 — La Villa Clythia, Frejus, France — Participant
MBZUAI ML Winter School 2026
Representation Learning and GenAI — Mohamed bin Zayed University of Artificial Intelligence.
An intensive five-day program exploring the frontiers of representation learning and generative AI, from large language models to diffusion models for images and video. Lectures and hands-on sessions led by Michael Bronstein, Florence Forbes, Arthur Gretton, Eric Moulines, among others.
February 9-13, 2026 — MBZUAI, Abu Dhabi, UAE — Participant
Hackathons
Mistral Worldwide Hackathon — Paris Edition
Mistral AI's largest hackathon — 1,000+ participants across 7 cities worldwide, 36 hours of building with cutting-edge AI. With Saad Souilmi and Hamza Zerouali, we built Cerno: an AI-powered recruitment platform where candidates interview with a voice-AI agent, and recruiters receive structured, bias-free evaluations — no resume screening, no ghosting.
February 28 - March 1, 2026 — Paris, France — Organized by Mistral AI and Iterate — Partners: NVIDIA, AWS, Weights and Biases