My research focus on Natural Language Processing and Machine Learning. I am especially interested in structured prediction and introducing linguistic knowledge in neural networks.
I have 2 open positions for Master research internships in Natural Language Processing and Machine Learning:
I obtained a Ph.D. in 2018 from Université Paris 13 under the supervision of Joseph Le Roux and Adeline Nazarenko. We worked with Mathieu Lacroix on using combinatorial optimization techniques (Lagrangian relaxation) to solve efficiently problems related to syntactic parsing with non-context free grammars (e.g. Lexicalized Tree Adjoining Grammars).
My Ph.D. was supported by the Labex EFL, a public grant overseen by the French National Research Agency (ANR) as part of the Investissements d’Avenir program (ANR-10-LABX-0083).
From November 2017 to August 2018, I was postdoctoral researcher working with Ivan Titov. I was formally employed by the University of Amsterdam but I spent my time there as a visitor at the University of Edinburgh (EdinburghNLP group).