Schedule

09:00-09:10

Opening Remarks

Outlining the agenda for the day

09:10-09:40

Kishwar Shafin

Deep learning innovations for accurate genomic analysis

09:40-10:10

Charlotte Bunne

Virtual Cells and Digital Twins: AI in Personalized Medicine

10:10-10:25

Coffee Break

10:25-10:45

Contributed Talks 1

Two contributed talks by the paper authors

10:45-11:15

Stephan Eismann

AI for RNA-Targeted Small Molecule Drug Discovery

11:15-12:15

Poster Session 1

12:15-13:45

Lunch Break

Light lunch will be provided, thanks to our sponsors!

13:45-14:15

Wengong Jin

Learning to Generate and Score Protein-RNA Complexes

14:15-14:45

Sam Davis

From Molecules to Meaning: AI at the Heart of Nanopore Sequencing

14:45-15:05

Contributed Talks 2

Two contributed talks by the paper authors

15:05-15:15

Coffee Break

15:15-15:45

Grace Yeo

Towards multimodal tissue models: Predicting spatial transcriptomics from whole-slide imaging

15:45-16:05

Contributed Talks 3

Two contributed talks by the paper authors

16:05-17:05

Poster Session 2

17:05-17:55

Panel Discussion

17:55-18:00

Closing Remarks