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24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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Picault Sébastien


Picault Sébastien
© SP

Researcher at INRAE, HDR

 Oniris site de la Chantrerie, CS40706, 44307 Nantes, France
 équipe DYNAMO, bâtiment G4 2e étage

Email :
Phone : +33 (0) 272 202 937

Sébastien Picault is Graduate Engineer (Telecom Paris) and received a Ph.D in computer science at University Pierre and Marie Curie (Paris VI, Sorbonne Universités). He worked from 2002 to 2019 as an associate professor at University of Lille (CRIStAL lab). His research focuses on methods, algorithms and architectures for multi-agent and multi-level modelling and simulation, combining Artificial Intelligence (AI) and Software Engineering. S. Picault received his Habilitation to supervise research in 2013. S. Picault joined INRAE in 2016 as a visiting researcher in BIOEPAR, where he got a permanent position as researcher in 2019. He develops AI methods to elaborate a generic framework for the design and simulation of epidemiological models (EMULSION). He aims at enhancing reliability and reducing development time of mechanistic epidemiological models, while ensuring readability, modularity and revisability of the models to involve non-modeller scientists more tightly into model design.

Research Topics

  • Epidemiological modelling
  • Agent-based simulation
  • Multi-level modelling
  • Artificial Intelligence
  • Software Engineering


ORCID: 0000-0001-9029-0555

Recent publications

  • Cecilia H., Arnoux S., Picault S., Dicko A., Seck M. T., Sall B., Bassene M., Vreysen M., Pagabeleguem S., Bance A., Bouyer J., Ezanno P. 2019. Environmental heterogeneity drives tsetse fly population dynamics and control. Peer Community in Ecology,  :493650. DOI: 10.1101/493650.
  • Picault S., Huang Y.-L., Sicard V., Arnoux S., Beaunée G., Ezanno P. 2019. EMULSION: transparent and flexible multiscale stochastic models in epidemiology. PLOS Computational Biology, 15(9): e1007342. DOI: 10.1371/journal.pcbi.1007342
  • Picault S., Ezanno P., Assié A. Combining early hyperthermia detection with metaphylaxis for reducing antibiotics usage in newly received beef bulls at fattening operations: a simulation-based approach. SVEPM: Conference & Annual General Meeting, Mar 2019, Utrecht, Netherlands. pp.148-159
  • Ezanno P., Beaunée G., Picault S., Arnoux S., Sicard V., Beaudeau F., Rault A., Vergu E. 2018. Gestion des maladies endémiques du troupeau aux territoires : contribution de la modélisation épidémiologique pour soutenir la prise de décision (projet MIHMES, 2012-2017). Innovations Agronomiques, 66:53-65.
  • Mathieu P., Morvan G., Picault S., 2018. Multi-level agent-based simulations: Four design patterns. Simulation Modelling Practice and Theory 83, 51-64. [IF17=2.092] DOI: 10.1016/j.simpat.2017.12.015.
  • Maudet A., Touya G., Duchêne C., Picault S. 2017. DIOGEN, a multi-level oriented model for cartographic generalization. International Journal of Cartography, 3(1):121-133 DOI: 10.1080/23729333.2017.1300997.
  • Nongaillard A., Picault S. 2017. Modélisation multi niveau du bien-être social dans un SMA : Application aux problèmes d'affectation et d'appariement. Revue d'Intelligence Artificielle, 31(6):709-734.

See also

Sébastien Picault's publications on HAL INRAE