Researcher

Paul François

Paul François is a theoretical biophysicist who builds mathematical and machine-learning models of embryonic development, evolution and the immune system. Trained in physics at École Polytechnique and the École Normale Supérieure, he completed a PhD in theoretical physics in the Hakim lab between 2002 and 2005, then spent 2005 to 2010 as a postdoctoral researcher in the Siggia lab at The Rockefeller University. At McGill University he was an assistant professor of physics from 2010 and an associate professor from 2016 to 2023, and he won a Simons Investigator award in 2014, the CAP Herzberg Medal in 2017 and the Royal Society of Canada's Rutherford Medal in Physics in 2019. In 2022, he led the data analysis for a Science paper in which machine learning and mathematical models read antigen strength from T-cell cytokine data. He is a full professor of biochemistry and molecular medicine at Université de Montréal and an associate academic member of Mila.

Timeline

  1. 1998–2005

    Physics training in Paris

    He earns a BEng with a physics major at École Polytechnique (1998–2001) and an MSc in theoretical physics at the École Normale Supérieure and École Polytechnique (2001–2002). He then works on a PhD in theoretical physics in the Hakim lab at the École Normale Supérieure and Université Paris VII from 2002 to 2005.

  2. 2004

    Evolving gene networks in silico

    With Vincent Hakim, he publishes a PNAS paper in 2004 that describes an evolutionary procedure in silico for creating small gene networks that perform basic tasks. The procedure produces networks that work as bistable switches or oscillators.

  3. 2005–2010

    Postdoc in the Siggia lab

    He is a postdoctoral researcher in the Siggia lab at The Rockefeller University from 2005 to 2010. In 2007, he receives a Lavoisier Postdoctoral Fellowship from France's Ministry of Foreign Affairs and the Prix Le Monde de la recherche universitaire.

  4. 2010–2023

    Physics professor at McGill

    He joins McGill University's physics department as an assistant professor in 2010 and holds an associate professorship from 2016 to 2023. His research develops approaches from statistical and computational physics to understand the dynamics of biological systems and their evolution, in close collaboration with experimentalists.

  5. 2012–2013

    Models of embryos and T cells

    In 2012, he and Eric Siggia publish "Phenotypic Models of Evolution and Development: Geometry as Destiny", which uses computational evolution to obtain phenotype models with few variables and parameters, including one for somitogenesis. In 2013, he and four coauthors show in PNAS that a proofreading cascade with a single SHP-1 negative feedback accounts quantitatively for early T-cell activation, including the effects of antagonists.

  6. 2014–2019

    Simons Investigator to Rutherford Medal

    The Simons Foundation names him a Simons Investigator in Mathematical Modeling of Living Systems in 2014, and McGill gives him its Principal's Prize for Outstanding Emerging Researchers in 2015. He receives the CAP Herzberg Medal in 2017 and the Rutherford Medal in Physics of the Royal Society of Canada in 2019, in part for research on the biophysical principles of vertebrae formation.

  7. 2022

    Antigen strength from cytokine data

    In 2022, he leads the data analysis team behind "Universal antigen encoding of T cell activation from high-dimensional cytokine dynamics" in Science, a collaboration with Grégoire Altan-Bonnet's group at the US National Cancer Institute. The McGill team uses machine learning and mathematical models to read antigen strength from cytokine release patterns.

  8. As of October 2026

    Professor at Université de Montréal

    He is a full professor in the Department of Biochemistry and Molecular Medicine at Université de Montréal, an adjunct professor of physics at McGill and an associate academic member of Mila. In November 2025, he coauthors with François X. P. Bourassa, Sooraj Achar and Grégoire Altan-Bonnet the review "Learning the principles of T cell antigen discernment", which describes how statistical and machine learning approaches refine models of antigen recognition.

Career

  1. Since 2010McGill UniversityAssistant Professor, Associate Professor
  2. NowUniversité de MontréalFull Professor
  3. NowMilaAssociate Academic Member
  4. 2005–2010Rockefeller UniversityPostdoctoral Researcher

Education

  1. 2005École Normale SupérieurePhD in Theoretical Physics
  2. 2005University of Paris VIIPhD in Theoretical Physics
  3. 2002École Normale SupérieureMSc in Theoretical Physics
  4. 2002École PolytechniqueMSc in Theoretical Physics
  5. 2001École PolytechniqueBEng in Physics

Sources and credits

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  1. Paul François | Mila mila.quebec. Checked 22 October 2026.
  2. Design of genetic networks with specified functions by evolution in silico - PMC pmc.ncbi.nlm.nih.gov. Checked 22 October 2026.
  3. Paul François | Quantitative Life Sciences - McGill University mcgill.ca. Checked 22 October 2026.
  4. Phenotypic Models of Evolution and Development: Geometry as Destiny - PMC pmc.ncbi.nlm.nih.gov. Checked 22 October 2026.
  5. Phenotypic model for early T-cell activation displaying sensitivity, specificity, and antagonism - PMC pmc.ncbi.nlm.nih.gov. Checked 22 October 2026.
  6. Paul François awarded Rutherford Medal in Physics - McGill Reporter reporter.mcgill.ca. Checked 22 October 2026.
  7. Decoding the language of immune responses - McGill University mcgill.ca. Checked 22 October 2026.
  8. [2511.18626] Learning the principles of T cell antigen discernment arxiv.org. Checked 22 October 2026.