lego-fall-2024 : GT LEGO - Sciencesconf.org

8:30 - 9:00 (30min)

Breakfast (SCAI)

9:00 - 9:15 (15min)

Introduction

9:15 - 9:45 (30min)

Tree-based variational inference for Poisson log-normal models: application to the gut microbiome

Alexandre Chaussard

9:45 - 10:30 (45min)

Keynote: AI, diagnostic tests and cancer

Michael Blum

10:30 - 11:00 (30min)

Coffee break

11:00 - 11:30 (30min)

Self-supervised representation learning on gene expression data for phenotype prediction

Kevin Dradjat

11:30 - 12:00 (30min)

Learning Single-cell Drug Responses Using Differential Autoencoder Model

Wang Shuhui

12:00 - 12:30 (30min)

scPRINT: A transcriptomic foundation model for inferring molecular interactions

Jérémie Kalfon

12:30 - 14:30 (2h)

Lunch and Posters

14:30 - 15:15 (45min)

Keynote: Deep learning for phylogenetic inference of species diversification

Hélène Morlon

15:15 - 15:45 (30min)

Transformers for EpiDemiological DYnamics: from genomic data to epidemiological parameters

Vincent Garot

15:45 - 16:15 (30min)

Coffee break

16:15 - 16:45 (30min)

ProtMamba: a homology-aware but alignment-free protein state space model

Cyril Malbranke

16:45 - 17:15 (30min)

Expanding the space of self-reproducing RNA using generative probabilistic models

Martin Weigt

17:15 - 17:30 (15min)

Closing remarks

Planning