About me

I am currently a final year Ph.D. student in Machine Learning at Sorbonne Université in Paris, in the lab LIP6 (LFI team) My research is done under the supervision of Marie-Jeanne Lesot , Christophe Marsala and Marcin Detyniecki and focuses on machine learning interpretability. My thesis is funded by the AXA Research Fund as part of a Joint Research Initiative, and in this context I am intensively collaborating with the research team from the AXA group.

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.

My Ph.D. is expected to end in March 2020.

Research interests: machine learning interpretability, adversarial learning, fairness in machine learning, active learning. Feel free to contact me if you need more information or simply want to discuss any topic.

Email: thibault . laugel [at] lip6 . fr

Office: Office 26-00 516, Sorbonne Université, 4 place Jussieu, 75005 Paris.

Other: GitHub, LinkedIn, Twitter



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.