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AIAS Seminar ‘How does environmental heterogeneity influence the genomic footprint of adaptation?’

Speaker: Anna Maria Langmüller, AIAS-AUFF Fellow, Postdoc researcher, Cornell University & University of Vienna, Messer lab & Hermisson lab.

Info about event

Time

Monday 7 October 2024,  at 11:00 - 12:00

Location

AIAS, building 1630, room 301, 3 floor

Anna Maria Langmüller

Abstract

The evolution of insecticide resistance poses a global threat and is often linked to traits involved in thermal adaptation. As a result, natural populations may face trade-offs between adapting to insecticides and climate change. Traditional population genetics models offer limited insights due to assumptions of random mating and uniform environments. To address this, I will use agent-based simulations and statistical frameworks to investigate how environmental heterogeneity shapes the genomic landscape of insecticide resistance and influences adaptation dynamics over time and space.

Short bio

I am an evolutionary biologist specializing in rapid adaptive processes in experimental and natural populations, with a focus on environmental challenges. My research combines computational modeling and empirical studies to deepen our understanding of evolutionary dynamics. Previously, I held a Marie Skłodowska-Curie postdoctoral fellowship, applying modeling and machine learning in epidemiology at the University of Vienna in Austria and Cornell University, USA.


What is an AIAS Seminar?

The AIAS Seminar Series is a session of seminars held by the AIAS fellows, AIAS Visiting or Tandem Fellows or by other speakers proposed by the fellows. In each seminar, a fellow will present and discuss her/his current research and work-in-progress to an interdisciplinary audience for 30 minutes, closing off with 30 minutes for questions, comments and discussion.

All seminars are in-person and held in English. To attend online, please contact Sofia Victoria Lunau Bentsen at sofia@aias.au.dk by 9:00am on the day of the semimar as the latest to request a link.