Guillaume Dumas , Ph.D.
    Guillaume Dumas
    Research Axis
    Brain and Child Development Axis
    Research Theme
    Development of psychopathologies
    CHUSJ - Centre de Recherche


    • Associate Research Professor, Department of Psychiatry and Addictology, Université de Montréal (2020)
    • Associate Academic Member, Mila - Quebec AI Institute (2020)


    Precision Psychiatry and Social Physiology


    Read Guillaume Dumas' blog on Psychology Today


    • HDR, Medecine (Université Paris Cité, 2020)
    • PhD, Cognitive Neuroscience (Université Paris 6, 2011)
    • MSc, Cognitive Science (ENS/EHESS/Université Paris 5, 2008)
    • MEng, Systems engineering & Data science (École Centrale Paris, 2007)
    • MSc, Theoretical Physics (Université Paris 11, 2006)

    Research Interests

    The Precision Psychiatry and Social Physiology team combines computational biology and social neuroscience approaches to pave the way for a Predictive, Preventive, Personalized, Prescriptive, and Participatory (5P) medicine, especially for mental disorders.

    The great challenge for modern psychiatry is to combine the most recent theoretical and methodological advances to better diagnose and treat patients. Last innovations in medicine have been largely driven by high technology, including the emergence of powerful computational tools for analyzing large amounts of data. Psychiatry requires more: to bridge the gap between our understanding of our brain (biology), our social mind (psychology), and our health (medicine). Another key challenge in the area of so-called "precision" medicine is to adapt care to every individual from their genomes to their smartphones. Finally, research has paradoxically focused on isolated individuals despite the fundamental role of social interactions in human cognition and its disorders. This requires the development of a “social physiology” approach that not only studies how the brain allows us to interact with others, but also models how this social dimension affects our representation of mental disorders.

    The Precision Psychiatry and Social Physiology team addresses this challenge by leveraging data science across various scales of analysis: genetic, neural, cognitive, behavioral, and social. Its translational research program is composed of three axes developing new computational methods for respectively the collection, analysis, and interpretation of clinical data. Ultimately, results will provide new actionable assets for medical practices, healthcare and global health: automated assessment and rehabilitation instruments (e.g. serious video games), predictive biological signatures (e.g. stratification biomarkers), and heuristic representations for clinical decision making (e.g. normative models, symptom networks).

    Research Topics

    • Multiscale and Computational psychiatry
    • Cognitive Neuroscience of Social Interaction
    • Neurophysiology (EEG) and Brain Imaging (fMRI/sMRI/DTI)
    • Autism and Neurodevelopmental Disorders
    • Bioinformatics and Systems Biology
    • Mathematical modeling and Statistics
    • Practices and Dissemination of Open Science
    • Neuro-AI and Deep Learning

    Career Summary

    Guillaume Dumas is a neuroscientist with a transdisciplinary background in theoretical physics, systems engineering, and cognitive science. He investigates the neurobiology of social cognition through the lens of complex systems theory and computational methods. His scientific interests connect with biomedical research, specifically in psychiatry which requires to integrate biological, psychological, and social dimensions of the human mind.

    Over the course of his career, Dr. Dumas has progressively moved from cognitive and social neuroscience to systems biology and biomedical research on neurodevelopmental disorders. In 10 years, his research findings have led to a better understanding of how our brains allow to interact with others. He was particularly involved in the development of hyperscanning — the simultaneous recording of brain activity in multiple people. During his Ph.D. at the Pitié-Salpêtrière University Hospital (University Paris 6, France), he demonstrated the existence of synchronizations between brains during social interaction (Dumas et al. 2010) and performed the first neuro-computational simulations of two interacting brains, demonstrating how anatomical similarity is one of the mechanisms underlying interbrain synchronizations (Dumas et al. 2012). In postdoc at Center for Complex Systems and Brain Sciences (Florida Atlantic University, USA), he then introduced a new paradigm of human-computer interaction — the Human Dynamic Clamp (Dumas et al. 2014) — which uses dynamic systems theory to control a bio-inspired avatar in real time. Combined with high-resolution electrophysiology, it allows to uncover how a specific neural hub (rTPJ) between self- and other behavior is connecting the sensory-motor (system 1) and representational (system 2) dimensions of social cognition during real-time interaction (Dumas et al. 2020).

    Before joining the CHU Sainte-Justine, Dr. Dumas was a senior research fellow of the Departments of Neuroscience and of Computational Biology of the Institut Pasteur (Paris, France). He investigated how to address heterogeneity in autism spectrum disorders in the Human Genetics and Cognitive Functions laboratory. At that time, he became a core member of the data management and analysis group for the EU-AIMS consortium and founded the SoNeTAA (Social Neuroscience for Therapeutic Approach of Autism) research platform in the pediatric hospital Robert Debré (Paris, France). Dr. Dumas is now the Principal Investigator of the Precision Psychiatry and Social Physiology laboratory at the research center of CHU Sainte Justine, and is a Professor for Computational Psychiatry in the Faculty of Medicine at the Université de Montréal.

    Awards and Distinctions

    • 2024 The Peak's Emerging Leaders 2024 - Healthcare Category
    • 2023 nominated Future Leaders in Canadian Brain Research by the Brain Canada Foundation
    • 2023 nominated Scialog Fellow by the Research Corporation for Science Advancement (USA) in the Molecular Basis of Cognition Program
    • 2023 CIFAR-Azrieli Global Scholars Program - 2023-2025 cohort
    • 2023 Étoiles Effervescence Award
    • 2019 EU-AIMS young researcher award
    • 2015 Sage Bionetworks young researcher award
    • 2014 Nominated for the MIT Technology Review Innovators Under 35

    Major financing

    • CIFAR-Azrieli Global Scholars Program
    • NSERCC - Discovery Program 
    • Institute for Data Valorization (IVADO)
    • Fonds de recherche du Québec – Santé (FRQS)
    • Canada Foundation for Innovation (CFI)


    • 2023, Nov. 13, Keynote, Okinawa Institute of Science and Technology, Japan
    • 2022, March 18, Keynote, New Technology and Mental Health Conference, Universal Exposition, Dubai, UAE
    • 2021, Oct. 21, Seminar of the Consortium for Interacting Minds, Dartmouth College, USA.
    • 2020 Feb. 28, Zangwill Seminar, Psychology Department, Cambridge University, UK
    • 2019 Oct. 17-20, Keynote, Regional International Society for Autism Research (INSAR), Puerto Varas, Chile
    • 2018 Sep. 17-19— Keynote, Personification Across Disciplines, Durham University, UK
    • 2017 Nov. 25 – Keynote & First Interdisciplinary Lecture, Aspects of Neuroscience, Warsaw, Poland
    • 2016, Sep. 28-30 – 10 years anniversary of the Interacting Minds Centre, Aarhus, Denmark


    • G. Dumas (2022) From inter-brain connectivity to inter-personal psychiatry. World Psychiatry.. doi: 10.1002/wps.20987
    • C. Gauld,  J. Maquet,  J-A. Micoulaud-Franchi,  G. Dumas (2022) Popular and Scientific Discourse on Autism: A Representational Cross-Cultural Analysis of Epistemic Communities to Inform Policy and Practice, Journal of Medical Internet Research (JMIR). doi: 10.2196/32912
    • M. Ramezanian Panahi, G. Abrevaya, J-C. Gagnon-Audet, V. Voleti, I. Rish, G. Dumas (2022) Generative Models of Brain Dynamics – A review. Frontiers in Computer Science. doi: 10.3389/frai.2022.807406
    • S. Bolotta, G. Dumas (2022) Social Neuro AI: Social Interaction as the "dark matter" of AI. Frontiers in Computer Science. doi: 10.3389/fcomp.2022.846440
    • Y. Endevelt-Shapira, A. Djalovski, G. Dumas, & R. Feldman (2021). Maternal chemosignals enhance infant-adult brain-to-brain synchrony. Science Advances, 7(50), eabg6867. doi: 10.1126/sciadv.abg6867 
    • Q. Moreau, G. Dumas (2021) Beyond "Correlation vs. Causation": Multi-brain Neuroscience needs Explanation. Trends in Cognitive Science, doi: 10.1016/j.tics.2021.02.011
    • E. Loth, J. Ahmad, C. Chatham, B. Lopez, … , G. Dumas (2021) The meaning of significant group-mean differences for biomarker discovery. PLoS Computational Biology. doi: 10.1371/journal.pcbi.1009477
    • G. Dumas, T. Gozé, J-A. Micoulaud-Franchi (2020) “Social Physiology” for Psychiatric Semiology: How TTOM can initiate an interactive turn for Computational Psychiatry? Behavioral and Brain Sciences10.1017/s0140525x19002735
    • C. Lord, T.S. Brugha, T. Charman, J. Cusack, G. Dumas, T. Frazier, E. Jones, R.M. Jones, J. Lounds Taylor, A. Pickles, M.W. State, J. Veenstra-VanderWeele (2020) Autism Spectrum Disorders. Nature Reviews Disease Primers. 10.1038/s41572-019-0138-4
    • C. Gauld*, J-A. Micoulaud-Franchi, G. Dumas (2020) From machine learning to student learning: pedagogical challenges for psychiatry. Psychological Medicine, 1. doi: 10.1017/S0033291720003906

Grow Beyond our wildest dreams

With the support of donors like you, at the heart of the Grow Beyond campaign, we are leading healthcare teams towards the opportunities offered by science and new technologies, so that every child, no matter where in Quebec, has access to the unique expertise and know-how of CHU Sainte-Justine. Together, let's join forces for their future.

Grow Beyond with us.

Contact Us

514 345-4931


© 2006-2014 CHU Sainte-Justine.
All rights reserved.
Terms of Use, Confidentiality, Security


Les informations contenues dans le site « CHU Sainte-Justine » ne doivent pas être utilisées comme un substitut aux conseils d’un médecin dûment qualifié et autorisé ou d’un autre professionnel de la santé. Les informations fournies ici le sont à des fins exclusivement éducatives et informatives.

Consultez votre médecin si vous croyez être malade ou composez le 911 pour toute urgence médicale.

CHU Sainte-Justine