Event
Symposium on Machine Learning and Ancient and Environmental DNA Analyses
Location
Date
Type
Organizer
New machine learning techniques are revolutionizing many areas of biological research including protein structure prediction, protein function prediction, and species classification using images. However, the use of these methods is still in its infancy in the analysis of environmental and ancient DNA data. The Pioneer Centre for AI and the Centre for Ancient Environmental Genomics are located next to each other near the botanical gardens of Copenhagen, and in this symposium we will explore synergies and the potential for advancing machine learning methods in the analyses of ancient and environmental DNA.
Programme:
10:30-11:00 Serge Belongie, University of Copenhagen – “Introduction to Research at the Pioneer Centre for AI”
11:00-11:30 Eske Willerslev, University of Copenhagen – “Introduction to Research at the Globe Institute”
11:30-12:00 Ole Winther, University of Copenhagen and DTU – “DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks”
12:00-13:00: Lunch in the garden at the Pioneer Centre for AI
13:00-13:30: Gefan Yang
13:30-14:00: Mikkel Winther Pedersen, University of Copenhagen – “Unlocking the Past: Why Ancient Environmental DNA Matters”
14:00-14:30: Ana Prohaska, University of Copenhagen – “Uncovering Ice Age Refugia and Leveraging Fossil Pollen DNA for Eco-Evolutionary Insights”
14:30-15:00: Martin Sikora , University of Copenhagen – “Using ancient genomics to learn about human evolutionary history”
15:00-15:30: Break
15:30-16:00: Frederikke Isa Marin, University of Copenhagen – “Benchmarking DNA Language models on biologically meaningful tasks”
16:00-16:30: Antonio Fernandez Guerra , University of Copenhagen – “AEGIS Meets AI: Shaping the future together”
16:30-17:15 Keynote: Burkhard Rost, TUM Computational Biology – “Artificial Intelligence deciphers the code of life written in proteins?”
17:45-19:00 Group Dinner, Bistro Royal, Kongens Nytorv