09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
›9:00 (1h)
Keynote
Speaker: Yun S. Song. Title: Improving Variant Effect Predictions using Language Models and Cross-Protein Transfer Learning
Speaker: Yun S. Song. Title: Improving Variant Effect Predictions using Language Models and Cross-Protein Transfer Learning
›10:00 (30min)
›10:30 (1h)
Keynote
Speaker: Charles-Henri Lecellier. Title: Machine learning to probe novel regulatory elements in the human genome
Speaker: Charles-Henri Lecellier. Title: Machine learning to probe novel regulatory elements in the human genome
›11:30 (1h)
›12:30 (1h30)
›14:00 (1h)
Keynote
Speaker: Sophie Donnet. Title: Modeling collections of networks by stochastic block models. Application in ecology and sociology.
Speaker: Sophie Donnet. Title: Modeling collections of networks by stochastic block models. Application in ecology and sociology.
›15:00 (1h)
Keynote
Speaker: Tim Landgraf. Title: BeesBook: Machine learning for the analysis of honeybee social behavior
Speaker: Tim Landgraf. Title: BeesBook: Machine learning for the analysis of honeybee social behavior
›16:00 (30min)
›16:30 (1h)
Keynote
Speaker: Daniele Silvestro. Title: Using artificial intelligence to predict future biodiversity trends and guide conservation efforts
Speaker: Daniele Silvestro. Title: Using artificial intelligence to predict future biodiversity trends and guide conservation efforts
