Anna Maria Langmüller

Anna Maria Langmüller

AIAS-AUFF fellow studying adaptation across time and space.

Two New Publications Out!

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I’m happy to share that I have two new publications out, spanning statistical emulation and rapid adaptation.

1. Gaussian process emulation for exploring complex infectious disease models

In our new PLOS Computational Biology paper, we introduce Gaussian Processes as an attractive tool to explore detailed, computationally intensive infectious disease models. By combining epidemiological modeling with modern machine-learning tools, this work helps researchers better understand how model parameters shape simulated epidemic outcomes.

Check out the paper here

2. Evolution Digest on winter-driven adaptation

I also wrote an Evolution Digest summarizing recent research on how winter conditions can drive rapid evolutionary change in natural populations.

Read the Digest here

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New Paper Out in Genome Biology!

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Our latest study looks at how P-element insertions affect fitness in fruit flies. Using experimental evolution and machine learning, we tracked how these transposable elements spread—and found that most new insertions are harmful and selected against. Excited to see this work published in Genome Biology! Check it out here.

Festival of Research 2025

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I gave a speed talk at the Arhus Festival of Research about my work on transposable element invasions in Drosophila. Couldn’t make it? A short article about my talk is available online .

New paper published!

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Published:

New paper out in Theoretical Population Biology! We investigate spatial structure in disease models, revealing when spatial heterogeneity must be considered for accurate predictions and how it impacts key epidemiological outcomes—bridging theory and simulations for more realistic epidemic modeling. For a plain-language summary, check out the blog post under the “Publications” tab.