François X. P. Bourassa

Postdoctoral Fellow, Center for the Physics of Biological Function, Princeton University

[François X. P. Bourassa @fxpbourassa]

We hope our focus on fluctuating odors will inspire more experiments with naturalistic temporal statistics in olfactory mixtures. On the theory side, the manifold learning concept may inform background filtering strategies in other biological and artificial systems.

[François X. P. Bourassa @fxpbourassa]

Why do we stop smelling odors that linger? In our new @PRX_Life paper with @p_r_francois, @Gautam_Reddy_N, and Massimo Vergassola, we develop a manifold learning theory of this olfactory habituation process in fluctuating environments.
🔗 https://t.co/kzn4KZ9ZuE
🧵🔽

[François X. P. Bourassa @fxpbourassa]

We then dissect, numerically and analytically, the dynamics and stability of these models (detailed Appendix!). Notably, we find that local interneurons endowed with the IBCM learning rule decompose the background by selecting individual odors.

[Qiwei Yu @QiweiYu2]

As the march meeting abstract deadline approaches, please check out our session! Please RT/forward

[CPBF @phybiofunc]

Apply now to be a CPBF Fellow in 2026! https://t.co/wg1sC6Pcv0

[Cell @CellCellPress]

In the latest issue! Engineering TCR-controlled fuzzy logic into CAR T cells enhances therapeutic specificity https://t.co/M2iblGkSlK

[Gautam Reddy @Gautam_Reddy_N]

Sarah Marzen and I are hosting a session on "The Physics of Learning and Adaptation" at the APS March Meeting in 2025. Abstract submissions due Oct 25th (https://t.co/5oHSVC7toT). We hope to have a solid list of speakers from both biological physics and machine learning.

[Paul Francois @p_r_francois]

It's now October, and we are still hiring ! We also have open positions for stages, and multiple graduate projects are also available. Do not hesitate to contact me for any information!

[Paul Francois @p_r_francois]

Happy New Year ! We have now officially moved to @UMontreal . A good opportunity to refresh our website (still working on it obviously) https://t.co/bUbgKkso9m

[Paul Francois @p_r_francois]

Some personal news before this website meets its fate (?) : on January 1st, I will move to the other side of the mountain at @UMontreal. I am also switching Faculty, joining the Biochemistry/Molecular Medecine Department

[McGill Science @McGillScience]

📈@McGillUPhysics and @NCIResearchCtr researchers have used machine learning to better understand immune responses. Led by @p_r_francois and @g_altanbonnet, the breakthrough has implications for improving immunotherapies to treat cancer. https://t.co/Y9scL1FtMj

[François X. P. Bourassa @fxpbourassa]

Un compte-rendu de notre article par la salle de presse de McGill (aussi disponible en anglais): https://t.co/8sVj0uAYYi via @mcgillu

[ACIR @ACIR_org]

SPOTLIGHT: Universal antigen encoding of T cell activation from high-dimensional cytokine dynamics @p_r_francois @fxpbourassa @trademaker17 @g_altanbonnet. Originally published in @ScienceMagazine. To read our summary click https://t.co/Q7DSuSptrn and scroll all the way down.

[Science Magazine @ScienceMagazine]

How T cells respond to antigens: Using machine learning, new research provides insight into how antigen characteristics translate into #Tcell responses.

Learn more: https://t.co/88l8gN14Vg #SciencePerspective

[Science Magazine @ScienceMagazine]

How T cells respond to antigens: Using machine learning, new research provides insight into how antigen characteristics translate into #Tcell responses.

Learn more: https://t.co/88l8gN14Vg #SciencePerspective

[Seth Thomas Scanlon @ImmunoEditor]

This week in @ScienceMagazine: @p_r_francois & @g_altanbonnet labs combine robotic sampling w/ machine learning & modeling to
quantify dynamics of antigen-driven CD8 #TCell activation!

https://t.co/RBqiGVaTUC

w/ accompanying Perspective by @TheArmita!

https://t.co/EgIHN5fqs5

[Human Immunology News @humanimmunenews]

Collaborators at @McGillUPhysics and @theNCI performed universal #antigen #encoding for T cell activation that may enable further modeling of immune responses to optimize #immunotherapy. 🙌

@p_r_francois @g_altanbonnet

@ScienceMagazine: 🔗 https://t.co/WcdV9R7Qlg