HeKA
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    • Axis 1: Learning and reasoning on patient representations
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  • Research projects
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Adrien COULET

Research fellow, deputy-lead

PSC ORCID G.Scholar


I’m a researcher at Inria Paris working on data-driven and knowledge-guided processes for knowledge discovery and predictive modelling in biomedicine. My interest goes from information extraction from clinical text to neuro-symbolic approaches for patient representation and reasoning. My training includes a PhD from the Loria (Université de Lorraine, Inria, CNRS), Nancy and a postdoc from Stanford University. Before joining Inria, I was Associate Prof. at the University of Lorraine.

I am regularly hiring PhD and Master students, engineers, postdocs and hosting invited researchers. If you are interested in joining HeKA, please get in touch.

Research projects

  • ShareFAIR, PEPR Santé Numérique, 2024-28
  • NEUROVASC, PEPR Santé Numérique, 2024-28
  • Makaao, Filières de Santé Maladies Rares, 2023-26
  • ADHERENCE, BOAS project, HDH, 2023-27
  • CombO, Projet Collaboratif, HDH & Sanofi, 2023-26
  • AT2TA, ANR, 2023-26
  • R2D2, Inria, 2021-25
  • medkit, Inria, since 2020
  • TalRep, Inria-Inserm, 2020-24
  • PractiKPharma, ANR, 2016-21

Supervision

Ongoing
Romain Michelucci Jong Ho Jhee
Louise Durand--Janin Foucauld Estignard
Pierre Epron Alejandra Lorenzo
Fabien Maury Safa Alsaïdi
Claire Dechaux Félix Berthou


Alumni
Thibaut Fabacher Lillian Muyama
Alice Rogier Pierre Monnin
Joël Legrand Kevin Dalleau
Gabin Personeni Mohsen Sayed

Talks

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  • Generative approaches for clinical text analysis and beyond, Hi! Paris Symposium: Generative AI for Biochemistry and Health, Telecom Paris, Palaiseau, 2026.
  • Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs, From Technology to Treatment conference, co-organized by the Personalized Health and Related Technologies (PHRT) and the Swiss Personalized Health Network (SPHN), ETH, Zurich, 2025.
  • Data- and Knowledge- driven approaches for learning clinical diagnosis pathway, Symposium International CITADEL, co-organised by Fonds de Recherche Québec and the Health Data Hub, Montréal, 2025.
  • Prompting Large Language Models (with or without domain knowledge) for Supporting Differential Diagnoses, Séminaire du PEPR Santé Numérique M4DI, online, 2025.
  • Representation and comparison of chemotherapy protocols with ChemoKG and graph embeddings, PhenoHarmonIS Workshop 2024, Montpellier, 2024.
  • medkit, une bibliothèque pour un système de santé apprenant. Rencontres de l’ANS et d’Inria : NLP Santé, Paris, 2023.
  • Raisonnement et fouille sur les graphes de connaissances biomédicaux. École Saisonnière en Intelligence Artificielle (ESIA 2023), organised by the AFIA (Association Française pour l’Intelligence Artificielle), Berk, 2023.
  • Knowledge management in pharmacogenomics. Journée scientifique du Centre de Recherche des Cordeliers, Paris, 2021.

Service

  • Membre du comité scientifique du FC3R (French Center for the 3R: Replacement, Reduction and Refinement) depuis 2022. Le FC3R est un groupement d’intérêt scientifique (GIS) qui vise le remplacement, la réduction et le raffinement de l’utilisation d’animaux à des fins scientifiques.
  • Président du comité de programme de la conférence nationale Ingénierie des Connaissances (IC) 2026, dans le cadre de la PFIA (Plate-Forme Intelligence Artificielle) 2026.
  • Co-organisateur des journées d’étude ATALA sur l’utilisation des LLM à l’hopital llm@hopital.fr, PariSanté Campus, Paris, mars 2026.
  • Membre du CSD (Comité de Suivi Doctoral) d’Inria Paris

Publications