QLS Seminar Series - Paul Francois



Information in cytokine dynamics : robotic mapping and machine learning

Paul Francois, McGill University
Tuesday January 19, 12-1pm
Zoom Link: https:/mcgill.zoom.us/j/91589192037

Abstract: An immune response is by essence a collective computation. Starting with the initial activations of few T cells, a complex dance of immune actors self-organize over long time scales. Understanding how and why immune cells communicate with one another to perform this response could be key to a better understanding of personalized medecine and immunotherapy. In collaboration with Grégoire Altan-Bonnet (NIH), we have developped a pipeline to study, decode and model cytokine communications between T cells. I will show how simple machine learning allows to project the complex immune response into a 2D latent space, where immune parameters can be simple deconvolved. Remarkably, this suggests a simple model of collective communication and computation, highly reproducible and universal. I will show how our approach can be used to predict quality of unknown antigen, and how it can potentially help to better estimate success of immunotherapy.

Contact Information

Alex DeGuise
coordinator.qls [at] mcgill.ca
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