07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
7:30 - 9:00 (1h30)
Breakfast
CPL restaurant
9:00 - 10:30 (1h30)
Contributed Talks
La Parrachée
› Likelihood-free inference of phylogenetic tree posterior distributions
- Luc Blassel, Département écologie évolutive [LBBE]
09:00-09:30 (30min)
› Graph Neural Networks for Likelihood-Free Inference in Diversification Models
- Amélie Leroy, Biologie Computationnelle, Quantitative et Synthétique, Modélisation de la biologie - Ismaël Lajaaiti, Institut des Sciences de l'Évolution de Montpellier, Theoretical Ecology Lab - Sophia Lambert, Modélisation de la biologie - Jakub Voznica, Modélisation de la biologie - Maximilian Pichler, Theoretical Ecology Lab - Hélène Morlon, Modélisation de la biologie - Florian Hartig, Theoretical Ecology Lab - Laurent Jacob, Biologie Computationnelle, Quantitative et Synthétique
09:30-10:00 (30min)
› Phylodynamic modeling with unsupervised Bayesian neural networks
- Marino Gabriele, ETH Zürich, Swiss Institute of Bioinformatics
10:00-10:30 (30min)
10:30 - 11:00 (30min)
Coffee break
mezzanine
11:00 - 12:30 (1h30)
Contributed Talks
La Parrachée
› Predicting Multiple Sequence Alignment Uncertainty via Machine Learning
- Lucia Martin-Fernandez, Biodiversity Computing Group, Institute of Computer Science, Foundation for Research and Technology - Hellas
11:00-11:30 (30min)
› Species Identification and aDNA Read Mapping Using k-mer Embeddings
- Filip Thor, Uppsala Universitet [Uppsala] - Carl Nettelblad, Uppsala Universitet [Uppsala]
11:30-12:00 (30min)
› The Phylogenomics and Sparse Learning of Trait Innovations
- Gaurav Diwan, Bioquant, Ruprecht-Karls Universität Heidelberg = Ruprecht-Karls University = Universität Heidelberg = Heidelberg University
12:00-12:30 (30min)
12:30 - 14:00 (1h30)
Lunch
CPL restaurant
›14:00 (2h)
14:00 - 16:00 (2h)
Workshop
Neural Posterior Estimation for Population Genetics
16:00 - 16:30 (30min)
Coffee break
mezzanine
›16:30 (1h)
Keynote: The good, the bad and the ugly of deep learning in phylogenetic inference
Claudia Solís-Lemus
Claudia Solís-Lemus
› La Parrachée
16:30 - 17:30 (1h)
Keynote: The good, the bad and the ugly of deep learning in phylogenetic inference
La Parrachée
Claudia Solís-Lemus
17:30 - 18:30 (1h)
Contributed Talks
La Parrachée
› Predicting natural variation in the yeast phenotypic landscape with machine learning
- Sakshi Khaiwal, Institut de Recherche sur le Cancer et le Vieillissement
17:30-18:00 (30min)
› Exploring the archaic introgression landscape of admixed populations through joint ancestry inference
-
18:00-18:30 (30min)
18:30 - 18:45 (15min)
Conclusion
La Parrachée
19:15 - 19:15 ()
Dinner
CPL restaurant
