Planning

Week Mon. 09 List

Monday, December 9, 2024

08:00

09:00

10:00

11:00

12:00

13:00

14:00

15:00

16:00

17:00

›8:30 (30min)

Breakfast (SCAI)

›9:00 (15min)

Introduction

›9:15 (30min)

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

›9:45 (45min)

Keynote: AI, diagnostic tests and cancer
Michael Blum

›10:30 (30min)

Coffee break

›11:00 (30min)

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

›11:30 (30min)

Learning Single-cell Drug Responses Using Differential Autoencoder Model
Wang Shuhui

›12:00 (30min)

scPRINT: A transcriptomic foundation model for inferring molecular interactions
Jérémie Kalfon

›12:30 (2h)

Lunch and Posters

›14:30 (45min)

Keynote: Deep learning for phylogenetic inference of species diversification
Hélène Morlon

›15:15 (30min)

Transformers for EpiDemiological DYnamics: from genomic data to epidemiological parameters
Vincent Garot

›15:45 (30min)

Coffee break

›16:15 (30min)

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

›16:45 (30min)

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

›17:15 (15min)

Closing remarks

Session

Speech

Logistics

Break

Tour

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