Here you can find a recap of some academic experiences I had during my PhD
Here you can find a recap of some academic experiences I had during my PhD
Together with Edwin Lock and Simon Finster, I was awarded a SMAI (Boum Project) grant to sponsor a research stay (sejour de récherche) at CIRM to work on our project Fair Networks
I supervised a Master (M1) research internship of the length of three months on the topic of dynamic pricing/ bandit algorithms.
EWRL 2026 - Poster presentation of our paper, Learning to Bid in Feedback-Manipulated Auctions
IFORS 2026 - Oral presentation of our paper, Decentralized Dynamics in Trading Networks
EWRL 2025 - Poster presentation of our paper, Budgeted Improving Bandits
Trustworthy AI Symposium Criteo AI Lab - Poster presentation of our paper
NeurIPS 2024 - Poster presentation of our paper Improved Algorithms for Contextual Dynamic Pricing
Journée de Rentrée EDMH 2024 - Oral presentation: A Tutorial on Multi-Armed Bandits with an Application to Dynamic Pricing
Mathematical insight from markets, control, and learning workshop - Oral presentation of our paper Improved Algorithms for Contextual Dynamic Pricing
ICML 2024 FoRLaC Workshop- Poster presentation of our paper Improved Algorithms for Contextual Dynamic Pricing
FAIRPLAY Retreat 2023-2026 / Team's Internal Seminar
I have been a teaching assistant for the whole course of my PhD for the following courses:
Statistics 1 (33h/year): Introduction to statistics, main convergence theorems, method of moments, maximum likelihood estimator, rudiments of Bayesian statistics.
Online Learning and Aggregation (6h/year): Analysis of several online problems: online linear regression, adaptive gradient descent, online stochastic problem.
Theoretical Foundations of Machine Learning (24h/year): Theoretical and coding sessions about the essential tools of machine learning: linear estimators, k-NN, tree predictors, Neural Networks.
I organized the Fairplay Team’s internal weekly seminars for the years 2024-2026, during the same time, I also took care of the team's official website.
I serve as a reviewer for the following Machine Learning venues:
NeurIPS (Top Reviewer 2025), EWRL, AAAI, ICML