Researcher

Maxime Amblard

Maxime Amblard is a computational linguist and professor of computer science at the Université de Lorraine whose research connects formal semantics, dialogue modeling and AI tools for mental health. After a 2007 PhD at Bordeaux's LaBRI on categorial minimalist grammars, he joined the Université de Lorraine and LORIA in 2008 as a maître de conférences (lecturer). Since 2011 he has led SLAM, a project on conversations with people with schizophrenia, and from 2020 to 2023 he co-led the French side of MePheSTO, an Inria–DFKI project that used AI methods to identify digital phenotypes of psychiatric disorders. His coauthored papers include a 2022 multi-task learning approach to depression detection in dialogues and a 2023 method that infers discourse structures from pre-trained language models. A full professor since 2022, he directs the master's program in natural language processing at IDMC and has led INSIGHT, a Lorraine initiative linking the humanities and social sciences with AI, since 2025.

Born
1979
Works
210
Citations
174
h-index
7

Years link to their sources. Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2000–2008

    Bordeaux PhD and Orange Labs

    He earns degrees in mathematics and computer science at Université Bordeaux 1 from 2000 to 2003, then completes a PhD at LaBRI in 2007 on categorial minimalist grammars, supervised by Christian Retoré and Alain Lecomte. From 2007 to 2008, he is a postdoctoral researcher in the EASY/LN team at Orange Labs in Lannion.

  2. 2008–2015

    Lecturer at LORIA

    In 2008, he becomes a maître de conférences (lecturer) at the Université de Lorraine, attached to LORIA and the mathematics and computer science faculty. From 2013 to 2015, he works full time at Inria Nancy Grand-Est in the Sémagramme team.

  3. Since 2011

    The SLAM project on schizophrenia

    Since 2011, he leads SLAM (Schizophrénie et Langage : Analyse et Modélisation), which studies conversations with people with schizophrenia or bipolar disorder by combining psychology, linguistics, computer science and philosophy. Within SLAM, he organizes four editions of the international workshop (In)Coherence of Discourse. Work on SLoDIM, software for clinicians that automatically analyzes dialogue transcripts, begins in 2015.

  4. 2015–2016

    Ethics research and a habilitation

    In 2015, he begins research on the ethics of natural language processing with Karën Fort, work that extends to ethical questions in AI. He earns his habilitation (HDR) at the Université de Lorraine in 2016 for work on semantics and discourse, sponsored by Philippe de Groote, and starts Fr-FraCaS, a French translation of the FraCaS collection of inference problems.

  5. 2019–2023

    ODiM and MePheSTO

    From 2019 to 2022, he is scientific lead of ODiM, an Inria exploratory action on computer tools to help diagnose mental illness. From 2020 to 2023, he co-leads the French side of MePheSTO with François Bremond, an Inria–DFKI project that uses AI methods to identify measurable digital phenotypes of psychiatric disorders from patient–clinician interactions.

  6. 2022–2023

    Depression detection and discourse structure

    With Chuyuan Li and Chloé Braud, he coauthors a 2022 SIGDIAL paper on multi-task learning for depression detection in dialogues, which reports up to 70.6% F1. In a Findings of EACL 2023 paper with Li, Patrick Huber, Wen Xiao, Braud and Giuseppe Carenini, the team infers discourse structures for dialogues from the attention matrices of pre-trained language models.

  7. Since 2022

    Full professor at Lorraine

    He becomes a professeur des universités (full professor) at the Université de Lorraine in 2022, attached to LORIA and the mathematics and computer science faculty. In January 2024, he joins philosopher of science Daniel Andler and data science manager Annabelle Blangero in a Polytechnique Insights piece on whether artificial and human intelligence are comparable.

  8. Since 2025

    Leading the INSIGHT initiative

    Since 2025, he leads INSIGHT, a four-year Lorraine Initiative of Excellence project that links the humanities, social sciences and law with AI and natural language processing, and he presents it at its kick-off meeting in December 2025. He is a professor of computer science at the Université de Lorraine, directs the master's program in natural language processing at IDMC, and studies the semantics of spontaneous dialogue at LORIA.

Career

  1. Since 2008Université de LorraineMaître de conférences (lecturer), Full Professor
  2. 2014–2026CNRS
  3. 2013–2015Inria
  4. 2007–2008OrangePostdoctoral Researcher
  5. 2004–2007Institut Polytechnique de Bordeaux

Education

  1. 2016Université de LorraineHabilitation (HDR)
  2. 2007University of Bordeaux 1PhD
  3. 2003University of Bordeaux 1Degrees in mathematics and computer science

Most-cited works

  1. Multi-Task Learning for Depression Detection in Dialogs2022 · Annual Meeting of the Special Interest Group on Discourse and Dialogue · 21 citations
  2. Reducing Unintended Bias of ML Models on Tabular and Textual Data2021 · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · 20 citations
  3. Schizophrénie, logicité et perspective en première personne2012 · L Évolution Psychiatrique · 12 citations
  4. Using SDRT to Analyze Pathological Conversations: Logicality, Rationality, and Pragmatic Deviances2014 · Logic, argumentation & reasoning · 12 citations
  5. Calculs de représentations sémantiques et syntaxe générative: les grammaires minimalistes catégorielles2007 · 9 citations

Sources and credits

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  1. CV – Maxime AMBLARD members.loria.fr. Checked 20 October 2026.
  2. Maxime Amblard - The Mathematics Genealogy Project mathgenealogy.org. Checked 20 October 2026.
  3. Projets – Maxime AMBLARD members.loria.fr. Checked 20 October 2026.
  4. Responsabilités Recherche et vie scientifique – Maxime AMBLARD members.loria.fr. Checked 20 October 2026.
  5. Multi-Task Learning for Depression Detection in Dialogs - ACL Anthology aclanthology.org. Checked 20 October 2026.
  6. Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues - ACL Anthology aclanthology.org. Checked 20 October 2026.
  7. Are artificial intelligence and human intelligence comparable? polytechnique-insights.com. Checked 20 October 2026.
  8. INSIGHT – Maxime AMBLARD members.loria.fr. Checked 20 October 2026.
  9. LREC26Turorial – Maxime AMBLARD members.loria.fr. Checked 20 October 2026.
  10. Maxime Amblard : les articles rédigés par Maxime Amblard - Polytechnique Insights polytechnique-insights.com. Checked 20 October 2026.