Paul François, Université de Montréal

Research

Data Analysis Machine Learning Mathematical Modelling Quantitative Immunology Robotic Platform

Latest papers

The Product neutrality function defining genetic interactions emerges from mechanistic models of cell growth.
eLife · 2025
Successive Kinesin-5 Microtubule Crosslinking and Sliding Promote Fast, Irreversible Formation of a Stereotyped Bipolar Spindle.
Current biology : CB · 2019
Distinct roles for antiparallel microtubule pairing and overlap during early spindle assembly.
Molecular biology of the cell · 2013

All 3 publications

Latest funding

Data-driven theory : adversarial immunodynamics, modelling and machine learning for engineered lymphocytes in the context of cancer immunotherapy
CIHR · 2023 · Nominated PI
$631,126
Geometry of biophysical learning
NSERC · 2023 · Principal investigator
$162,000

All 2 grants and awards

3 publications.

01

The Product neutrality function defining genetic interactions emerges from mechanistic models of cell growth.

Fuentes Valenzuela L, Francois P, Skotheim JM

eLife2025

DOI: 10.7554/elife.105265 PMID: 40891677

02

Successive Kinesin-5 Microtubule Crosslinking and Sliding Promote Fast, Irreversible Formation of a Stereotyped Bipolar Spindle.

Leary A, Sim S, Nazarova E, Shulist K, Genthial R, Yang SK, Bui KH, Francois P, Vogel J

Current biology : CB2019

DOI: 10.1016/j.cub.2019.09.030 PMID: 31679937

03

Distinct roles for antiparallel microtubule pairing and overlap during early spindle assembly.

Nazarova E, O'Toole E, Kaitna S, Francois P, Winey M, Vogel J

Molecular biology of the cell2013

DOI: 10.1091/mbc.e13-05-0232 PMID: 23966467

Data-driven theory : adversarial immunodynamics, modelling and machine learning for engineered lymphocytes in the context of cancer immunotherapy

Nominated PICIHR2023Project Grant

Principal investigators: François, Paul

Keywords: Data Analysis; Machine Learning; Mathematical Modelling; Quantitative Immunology; Robotic Platform

$631,126

Geometry of biophysical learning

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: François, Paul

Keywords: cellular decision; developmental biology; dynamical systems; gene networks; genetic algorithms; hopfield networks; information theory; machine learning; mathematical modelling; systems biology

$162,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Jackie Vogel

Biology

2 shared papers, latest 2019

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their CIHR grant from 2023

Subject: Prospective PhD student: Data Analysis Dear Professor François, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "The Product neutrality function defining genetic interactions emerges from mechanistic models of cell growth." (2025), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your CIHR-funded project "Data-driven theory : adversarial immunodynamics, modelling and machine learning for engineered lymphocytes in the context of cancer immunotherapy" (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]