09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
›9:45 (15min)
9:45 - 10:00 (15min)
Introduction
›10:00 (1h)
10:00 - 11:00 (1h)
Keynote: Harnessing AI in phylogenomics
Tal Pupko
›11:00 (30min)
11:00 - 11:30 (30min)
Realistic data simulation
Franz Baumdicker
› Assessing usefulness of artificial genomes via local ancestry inference
- Antoine Szatkownik, Laboratoire Interdisciplinaire des Sciences du Numérique
11:00-11:30 (30min)
›11:30 (30min)
11:30 - 12:00 (30min)
Coffee break
›12:00 (1h)
12:00 - 13:00 (1h)
Realistic data simulation
Franz Baumdicker
› Simulations of Sequence Evolution: How (Un)realistic They Are and Why
- Johanna Trost, Université Claude Bernard Lyon 1 - Julia Haag, Heidelberg Institute for Theoretical Studies - Dimitri Höhler, Heidelberg Institute for Theoretical Studies - Laurent Jacob, Sorbonne Université
12:00-12:30 (30min)
› Fitting Indel Evolution Model Parameters to PFam Protein Alignments with a GPU-accelerated Framework
- Annabel Large, Department of Bioengineering; University of California, Berkeley, Joint Bioengineering Graduate Group; University of California, Berkeley and University of California, San Francisco
12:30-13:00 (30min)
›13:00 (1h30)
13:00 - 14:30 (1h30)
Lunch
›14:30 (1h)
14:30 - 15:30 (1h)
Keynote: Deep learning for the phylogenetic inference of species diversification
Hélène Morlon
›15:30 (1h)
15:30 - 16:30 (1h)
Phylogenetics
Alexandros Stamatakis
› Phyloformer: Towards fast and accurate phylogeny reconstruction with self-attention networks
- Luca Nesterenko, Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
15:30-16:00 (30min)
› Learning from an Artificial Neural Network in Phylogenetics
- Alina Leuchtenberger, Max Perutz Labs, Medical University of Vienna
16:00-16:30 (30min)
›16:30 (30min)
16:30 - 17:00 (30min)
Coffee break
›17:00 (1h)
17:00 - 18:00 (1h)
Phylogenetics
Alexandros Stamatakis
› Neural networks can predict ghost species diversity from gene transfers
- Enzo Marsot, Max-Planck-Institut für Biochemie = Max Planck Institute of Biochemistry
17:00-17:30 (30min)
› Predicting Phylogenetic Bootstrap Values via Machine Learning
- Julius Wiegert, Heidelberg Institute for Theoretical Studies
17:30-18:00 (30min)
›18:00 (1h)
18:00 - 19:00 (1h)
Poster session
