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.

Work experience

• 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.

Professional service

• 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.

Teaching

• 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.

Software skills

• Data analysis: R, Matlab, SAS, SPAD, PowerBI
• Programming: Python, Java, C++, SQL, VBA, UML

Languages

• French: Native
• English: Fluent
• German: Level B1, CEFR
• Chinese: Intermediate oral
• Japanese: Basic knowledge