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SUMMARY:Probability and population genetics
DTSTART:20260115T130000Z
DTEND:20260115T150000Z
DTSTAMP:20260504T084600Z
UID:indico-event-15691@indico.math.cnrs.fr
DESCRIPTION:Speakers: Julio Nava (Humboldt Universität / IMT)\n\nIn this 
 talk\, we take a tour through one of the foundational models of population
  genetics: the Wright–Fisher graph. We explore its biological origins an
 d explain how\, despite its apparent simplicity\, it encodes a wide range 
 of ecological and genealogical phenomena. We highlight how probability the
 ory provides a natural language to describe biological randomness\, and ho
 w different biological stories can emerge from the same mathematical frame
 work. We also discuss where the model falls short: which assumptions are b
 iologically unrealistic\, and why they nevertheless remain useful starting
  points. Finally\, we look beyond the classical setting and sketch how rel
 axing some of these assumptions leads to more realistic models that lie at
  the frontier of current research in probability and population genetics.\
 n\nhttps://indico.math.cnrs.fr/event/15691/
LOCATION:Johson (1R3)
URL:https://indico.math.cnrs.fr/event/15691/
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