Predictability, adaptation, and navigation

Predictability, adaptation, and navigation

The IRN PAN in biophysics investigates differences and similarities between biological systems such as co-evolving viruses and immune receptors, odor and chemical sensing animals and microbes, animals following visual cues and coevolving microbial species.

The biophysics of predictability, adaptation, and navigation have emerged as topics of interest over the recent years due to novel quantitative experiments, data collection and analysis and extensive integration of theoretical ideas from non-equilibrium statistical mechanics, machine learning and Bayesian inference and nonlinear dynamics. Bringing together leading biophysicists from France, Europe and the US, this IRN investigates the differences and similarities between biological systems that predict, adapt and navigate their ever changing environments: co-evolving viruses and immune receptors, odor and chemical sensing animals and microbes, animals following visual cues and co-evolving microbial species.

Supporting mechanism: International Research Network

Active dates: 2019-2023

Full listing of partner institutions:

CNRS

Emory University

ENS Paris

Harvard University

Institut Curie

Massachusetts Institute of Technology

Max Planck Gesellschaft

Mount Sinai Hospital

Netherlands Organisation for Scientific Research

Princeton University

Sorbonne Université

Université Nice Sophia Antipolis

Université Paris Diderot

University of California, San Diego

University of Chicago

University of Cologne

University of Pennsylvania

University of Rome “La Sapienza”