Evolution is a combination of randomness and selection, in systems with many interacting degree of freedom, and hence a challenging problem in statistical physics. In this symposium we will look at the dynamics of evolution in the real world, including data on covid-19, in simplified laboratory experiments, and in abstract theoretical models, grounded in statistical mechanics.
Tracking and predicting viral evolution, from flu to covid-19
Richard Neher, University of Basel
Evolution at high resolution
Ivana Cvijović, Stanford University
Oskar Hallatschek, University of California, Berkeley
This is a Zoom event; please register to receive an invitation.
For up-to-date information, visit itsatcuny.org