teaching

Courses, teaching modules, and supervision. The full list is in my CV.

I teach quantitative and computational methods for linguistics (R, statistics, machine learning, corpora) as well as linguistic typology. I hold a habilitation (HDR) and can supervise PhD theses.

 

COURSES

An introduction to quantitative linguistics — Undergraduate course (30h), Department of Data Science in Arts and Culture, Université Paris Sciences & Lettres, 2025.
Instructor in charge of the full course: an introduction to linguistics and to quantitative methods relevant for linguistics.

Current research in linguistics — Undergraduate course (30h), Uppsala University, 2019.
Instructor in charge of the full course: qualitative and quantitative methods (R programming, clustering, similarity measures, hypothesis testing) to develop and test linguistic hypotheses.

Cognitive linguistics — Undergraduate course (30h), Uppsala University, 2019.
Instructor in charge of the full course: core concepts of cognitive linguistics (semantic frames, prototypes, metaphor) and how to use them in analysis.

Visualisation and statistics — Postgraduate course (30h), Uppsala University, 2018.
Weekly lab sessions on R programming for data cleaning, visualisation, and statistical analysis.

French as a foreign language — Group courses, levels A1–C2 (2,500h), Chinese Institute of European Languages, Taiwan, 2013–2015.

 

TEACHING MODULES

  • Practical R for quantitative typology — Conference teach-in (7h), Université Lumière Lyon 2, 2026. Extracting linguistic databases, generating maps, and fitting mixed models in R.
  • Quantitative typology from linguistic corpora — Postgraduate module (3h), University of Lyon, 2021–2026. Building corpora from raw data and analysing them.
  • Linguistic categories and language change — Summer school Linguistics, sociolinguistics, and ethnolinguistics (3h), MNHN, Paris, 2022 and 2026.
  • The diversity of languages and the interaction between language, society, and the cognitive system — Ethnomusicology module (3h), Sorbonne University, 2025.
  • Language and technology — General education course Language and World Civilization (4h), National ChengChi University, Taipei, 2023.
  • An introduction to mixed models — Postgraduate module (3h), Dynamics of Language lab, Lyon, 2021.
  • A statistical analysis of the morphology–syntax distinction — Postgraduate module (3h), Dynamics of Language lab, Lyon, 2020. Mixed models and decision-tree classifiers.
  • Fieldwork practice with native speakers — International School in Linguistic Fieldwork (15h), Paris, 2019.
  • An introduction to random forests in R — Postgraduate module (5h), Uppsala University, 2018.

 

SUPERVISION

  • PhD co-supervision (with Lolke van der Veen): Tessa Vermeir, Analyses phonologiques et lexicales des langues bantoues A80, University of Lyon, 2023–.
  • Master 2 internship: Anna Lebouedec, linguistic documentation in New Caledonia, MNHN, 2026.
  • Research engineers (ANR EVOGRAM): Mathilde Josserand and Tessa Vermeir (2023–2024); Magdalena Lemus-Serrano and Marine Cozzolino (2025–2026).
  • BA internships: four students from the Department of Data Science in Arts and Culture, PSL, 2024.
  • Doctoral school representative for the ED 227 (DIVONA, MNHN–Sorbonne University), following five PhD students, 2025–.
  • PhD committees and juries: Université catholique de Louvain, Adam Mickiewicz University, National ChengChi University (see CV for details).

 

CERTIFICATIONS