legend2025 : Machine Learning for Evolutionary Genomics Data

7:30 - 8:30 (1h)

Breakfast

8:30 - 9:30 (1h)

Keynote: A perspective on generative neural networks in genomics with applications in synthetic data generation

La Parrachée

Burak Yelmen

9:30 - 10:30 (1h)

Contributed Talks

La Parrachée

› PRIVET: PRIVacy metric based on Extreme value Theory - Antoine Szatkownik, LISN 09:30-10:00 (30min)

› Generative models for inferring the evolutionary history of the malaria vector Anopheles gambiae - Sara Mathieson, University of Pennsylvania 10:00-10:30 (30min)

10:30 - 11:00 (30min)

Coffee break

mezzanine

11:00 - 12:30 (1h30)

Contributed Talks

La Parrachée

› Contrastive Learning for Population Structure and Trait Prediction - Carl Nettelblad, Uppsala Universitet [Uppsala] 11:00-11:30 (30min)

› Neural posterior estimation for high-dimensional genomic data from complex population genetic models - Yuxin Ning, Eberhard Karls Universität Tübingen = University of Tübingen 11:30-12:00 (30min)

› Popformer: learning general signatures of genetic variation and natural selection with a self-supervised transformer - Leon Zong, University of Pennsylvania 12:00-12:30 (30min)

12:30 - 14:00 (1h30)

Lunch

CPL restaurant

13:30 - 17:00 (3h30)

Excursions

(outside)

14:00 - 18:00 (4h)

Board Games

(downstairs café)

14:30 - 16:00 (1h30)

Yoga session

(Scolette room)