Researcher Profile: Paul François

Researcher Profile

Paul François

Research Area(s): ,

Affiliation:  Université de Montréal, MILA Québec.


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Research Summary: 

Our long term goal is to build predictive theories for biology, similar to what is done in physics.

We are working in close collaboration with biologists, building models of complex biological systems, from the sub-cellular to the evolutionary scale.

We combine tools from multiple disciplines from physics, mathematics, computer science, and machine learning such as :

  • dynamical systems theory (bifurcation analysis, phase portraits, phase oscillators, …)

  • bioinformatics

  • dimensional reduction techniques, neural networks

  • evolutionary algorithms

  • landscape descriptions

As theorists, we do not hesitate to explore multiple directions and topics.