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About me

I am currently a third year Ph.D. student in Artificial Intelligence 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.

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: 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

News

Publications

Other Talks

Slides coming soon.

Teaching

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

GdR-IA

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 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.