About me

I am currently working as a Research Scientist in Artificial Intelligence in the research team of the AXA Group.

Previously, I did my Ph.D. in Machine Learning at Sorbonne Université in Paris, in the lab LIP6 (LFI team). My thesis was done under the supervision of Marie-Jeanne Lesot , Christophe Marsala and Marcin Detyniecki and focuses on machine learning interpretability. Before starting my Ph.D., I graduated from ENS Cachan and ENSAE ParisTech in Data Science and Machine Learning in France and worked as a Data Scientist for a year and a half at Deezer.

Research interests: My research mainly focuses on machine learning interpretability. I am also interested in the following topics: adversarial learning, fairness in machine learning, active learning and causal inference. Feel free to contact me if you need more information or simply want to discuss any topic.

Email: thibault . laugel [at] lip6 . fr

Other: Twitter, LinkedIn, GitHub



Link to my Google Scholar profile.

Other Talks

I gave the following talks about my work:


My experience as a teaching assistant include the following courses:

I also supervised a group of master students for their computer science project on Machine Learning Interpretability.

Other Projects


I am part of the 'GT Explicabilité', a group of researchers working on machine learning interpretability and part of the research group GdR-IA of the CNRS (French research organization).

Data Science Game

I cofounded in 2014 the Data Science Game, an association organizing every year a machine learning competition for students from all around the world.

We got invited to talk about the 2nd edition of the Data Science Game at NIPS 2016 CiML workshop. Link to poster.