Prediction in immune repertoires: learning rules in a self-organised mess

Statistical Physics and Complexity Group meeting

Prediction in immune repertoires: learning rules in a self-organised mess

  • Event time: 3:00pm until 4:00pm
  • Event date: 10th December 2024
  • Speaker: (Ecole Normale Supérieure, Paris)
  • Location: Online - see email invite.

Event details

 Immune repertoires provide a unique fingerprint reflecting the immune history of individuals, with potential applications in precision medicine. Can this information be used to identify a person uniquely?  I will show how statistical analysis of immune repertoires sequencing experiments can answer these questions. I will then attempt to connect data to phenotypic models of evolution and show that co-evolution between immune systems and viruses in a finite-dimensional antigenic space can be described by an antigenic wave pushed forward and canalized by host-pathogen interactions. This approach allows us to see how the evolution of pathogens is constrained by selection pressures coming from immune systems.