I am a third-year PhD student at Sorbonne Université and INRIA Paris in the Almanach research team. My research focuses on understanding the behavior of large scale language models and applying them efficiently in the multilingual context. I have interned at Apple AI/ML and Amazon Alexa AI. I am also the main instructor for the Machine Learning for NLP course at ENSAE Paris and mentor for the Fatima Fellowship.
PhD in Machine Learning applied to Natural Language Processing, 2022
INRIA & Sorbonne Université
MSc Data Science, 2016
Ecole Polytechnique, ENSAE, Télécom Paris
BSc in Statistics, 2014
ENSAE
2019-2022 - Lecturer and Main Instructor at ENSAE Paris for the Machine Learning for Natural Language Processing course.
2018-2019 - Teaching assistant for Master students in Initiation to Research in Statistics at University Paris-Descartes
2014-2016 - Teaching assistant for Bachelor students in Mathematics, Prépa ECS at Lycée Ipécom, Paris
2022 - Mentor for the Fatima Fellowship program. Mentoring 3 students in analysing cultural biases in multilingual language models.
2018-2022 - Supervising MSc students’ research projects. Focusing on implementation, evaluation and analysis of static Word Embedding techniques and Language Modeling.
2019 - Supervising internship on Domain Adaptation for Non-Canonical Data (6 months)