I am a second-year PhD student in the Inria Scool team (formerly SequeL) at CRIStAL (CNRS), under the supervision of Emilie Kaufmann and Rémy Degenne. Prior to my PhD, I graduated from ETH Zurich and École Polytechnique.

My main research interest is Multi-Armed Bandits, with a particular focus on identification problems. I also explore the theoretical understanding of these algorithms when only few samples are available.

My research interests also include reinforcement learning, online learning, Bayesian optimization, statistics and machine learning in general. I focus on developing theoretically well-founded and practically applicable algorithms.

  • Machine Learning
  • Multi-Armed Bandits
  • Reinforcement Learning
  • Online Learning
  • PhD Student, 2021-now

    Scool (Inria) / CRIStAL (CNRS) / Univ. Lille

  • MSc ETH in Data Science, 2018-2020

    ETH Zurich

  • Diplôme d'Ingénieur (MSc), 2015-2018

    École Polytechnique


Scool (Inria Lille)
Research Intern
Mar 2021 – Jul 2021 Villeneuve d'Ascq, France
Bandit identification with continuous answers under the supervision of Dr. Rémy Degenne.
Learning and Adaptive Systems (ETH Zurich)
Master’s Thesis
Apr 2020 – Sep 2020 Zurich, Switzerland
Pure exploration for combinatorial semi-bandits in the group of Prof. Dr. Andreas Krause.
AMAG Leasing
Part time Data Scientist
Feb 2019 – Jul 2019 Zurich, Switzerland
Created a recommender system for customers and developed models to predict churn and customer recovery.
IBM Singapore Lab
Research Intern
Apr 2018 – Aug 2018 Singapore
Characterized entities in the Bitcoin blockchain and developed a probabilistic model of its evolution.
Research Intern
Jun 2017 – Aug 2017 Crolles, France
Implemented a quantized convolutional neural network in order to synthesize it on a electronic chip.