Curriculum Vitae

Education

2018-2021: Ph.D in Natural Language Processing, LISN-CNRS and University Paris-Saclay, Paris, France.
Title: Models of diachronic semantic change using word embeddings
2014-2017: M.S. in Statistics, National School for Statistics and Information Analysis (ENSAI), Rennes, France.
2012-2014: Post-secondary preparatory classes in Mathematics and Physics, Lycée Janson de Sailly, Paris, France.

January 2023 - Ongoing: Post-doctoral researcher, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Retrieval-based Vision-Language models.
- Commonsense Reasoning.
June 2022 - September 2022: Invited researcher, Jozef Stefan Institute, Ljubjana, Slovenia
- Causal discovery, multi-task classification.
March 2021 - May 2022: Post-doctoral researcher, Almanach Team, INRIA Paris
- Low-resource cross-lingual transfer for hate seech detection;
- Multi-modal memes classification;
- Temporal graph neural networks for community detection and social network modeling.
January 2018 - February 2021: CIFRE PhD in partnership with Societe Generale, Paris, France.
- NLP for the financial domain.
September 2019 - February 2020: Research Intern, National Institute of Informatics (NII), Tokyo, Japan.
- Under the supervision of Pr. Asanobu Kitamoto;
- Semantics for Crisis Informatics.
April - September 2017: Data Scientist Intern, Risks Department, Société Générale, Paris, France
- Missing values imputation for mixed-type variables.
October-December 2016: Consultant, ENSAI junior Consultant, Rennes, France
- Time series prediction for web trends.
June-August 2016: Data Scientist Intern, Banque de France, Paris, France
- Time series and graph theory for diffusion of financial crisis.

Reviewer for:
- Conferences: COLING/EMNLP/*ACL, and workshops (CMCL, Semeval, LChange, MIDAS).
- Book: Computational Approaches to Semantic Change, Language Variation series, LangSci.
Co-organiser of the 2nd and 3rd International Workshop on Computational Approaches to Historical Language Change (LChange), at ACL 2021 and 2022 and EMNLP 2023.
Member of the Professional Conduct Committee of the Association for Computational Linguistics since 04/2021.

2023:
- École Polytechnique Fédérale de Lausanne (EPFL), Level: M2, 2-hours lecture on Vision-Language models.
2021 - 2022:
- National School for Statistics and Information Analysis, Level: M2, 24 hours of lab sessions for the Text Mining and web scrapping class.
- Dauphine-PSL University and École Polytechnique: Organisation of the Data science challenge on stock price prediction using textual data, Level: M2. 24h of lectures + lab sessions.
2020 - 2021:
- Machine Learning and AI for Economics and Finance Summer school, Université Paris Dauphine. Level: M2 & PhD, course: Advanced NLP for Finance. 3 hours of lecture.