PhD Student in Machine Learning at ENSAE Paris
I am a PhD student in the statistics department of CREST, at ENSAE Paris (Institut Polytechnique de Paris) in Paris, France, since September 2018. My advisor is Marco Cuturi.
I am one of the organizers of the seminar Stat·Eco·ML.
My research interest lies at the boundary between optimal transport (OT), statistics and machine learning. My work focuses on designing OT tools that are more robust to the curse of dimensionality, to data corruption or noise, so that OT can be efficiently applied to real data problems.