Dorian Baudry

Dorian Baudry

PhD Student



I am a PhD student in Machine Learning at CNRS in the Inria ScooL team (formerly SequeL). My supervisors are Emilie Kaufmann and Odalric-Ambryn Maillard. I study the problem of exploration in the bandits models, and explore in particular alternative approaches to the classical UCB/Thompson Sampling algorithms. My research interests also include reinforcement learning and machine learning in general.


  • Machine Learning and Statistics
  • Sequential Learning
  • Reinforcement Learning


  • PhD Student, 2019-now

    CNRS/Inria Lille, SequeL/ScooL team

  • MSc in Statistics and Computer Science, 2019

    ENSAE Paris



Teaching Assistant

University of Lille

Jan 2020 – Present Lille, France
Teachings include: Data Mining, Natural Language Processing.

Data Scientist


May 2019 – Oct 2019 Paris, France
Research project on the analysis of news to predict movements of different assets in the energy market.

Junior Index Structurer

Société générale CIB

Jan 2018 – Aug 2018 London, UK
Pricing of financial products.

Risk Management intern

AXA France

Jun 2017 – Nov 2017 Paris, France
Implementation of a reserving model for long-term care.