Since 2022, I'm Assistant Professor (Maître de Conférences) at Univ. Rennes and I'm carrying my research at IRISA laboratory in the newly founded MALT Inria project-team. I'm mostly enjoying playing with bandits and Recommender Systems, and with Machine Learning in general, including Interpretable Machine Learning and appraoches preserving the privacy.

In the past:

• I obtained a Master Research degree in Computer Science in 2006 after 3 years of study at brittany part of ENS Cachan.

• I was PhD student from 2006 to 2010 at Univ. Paris-Sud (France). I was member of the Machine Learning / Optimization team (A&O-TAO)  in LRI (UMR Univ. Paris-Sud/CNRS n° 8623) under the supervision of Michèle Sebag and Antoine Cornuéjols.

• From 2010 to 2011, I was PostDoc at Télécom-ParisTech (France) in collaboration with Stéphan Clémençon in the team STA (Statitics).

• From 2011 to 2017, I was Assistant Professor (Maître de Conférences) in the Inria team SequeL and member of CRIStAL (UMR Lille1/CNRS n° 9189) at University Lille 3.

• From 2017 to 2022, I was Assistant Professor at ENSAI and I'was doing my research in the department of statistic of CREST research center. In the meanwhile, I was external collaborator of LACODAM Inria team at IRISA.

Take a look at my resume for more details.

Interests

Current

• Machine Learning

• (online) Recommender Systems

• Bandit Theory

• Explanation of learned models

• Differential Privacy for Decentralized Learning

Past (but still alive)

• (online) Matrix Completion

• Consensus ranking

• Feature Selection

• Multiple Instance Learning

• Phase Transition

• UCT (Upper Confidence bound Applied to Trees)