I obtained my PhD in December 2016 from the University of Saint-Etienne, France. During my thesis I mainly studied Metric Learning, more precisely it was about Learning Metrics with a Controlled Behaviour. I did it under the supervision of Amaury Habrard in the Laboratoire Hubert Curien.
Between April 2017 and September 2019, I worked as a post-doc researcher in the Statistical Learning Theory research group led by Ulrike von Luxburg. This group is part of both the Eberhard Karls Universität Tübingen and the Max Planck Institute for Intelligent Systems. I mainly studied the problem of learning from ordinal data, generally termed as Comparison-based Learning. Toward the end of this post-doc position I also got interested in the problem of Fair Machine Learning.
Between March 2020 and September 2020, I worked as a post-doc researcher in the Data Intelligence Team in the Laboratoire Hubert Curien. I studied the problem of Fair Machine Learning in the presence of Imbalanced Data.