Schedule

8:15-8:30

Opening emarks

8:30-9:00

Riccardo Cadei -- Artificial Causal Inference in Scientific Experiments

9:00-9:30

Jason Hartford -- Dissecting the Causal Anatomy of a Virtual Cell

9:30-10:00

Marinka Zitnik -- Empowering Biomedical Discovery with AI Scientists  

10:00-10:30

Break & Scientific Speed Social

10:30-10:40

Oral 1

10:40-10:50

Oral 2

10:50-11:00

Oral 3

11:00-12:30

Poster Session

12:30-13:30

Lunch Break

13:30-14:00

Elizabeth Tipton -- The Evidence Gap: How Causal Inference Can Better Serve Policymakers

14:00-14:30

 Nathan Kallus -- Learning Surrogate Indices from Historical A/Bs: Adversarial ML for Debiased Inference on Functionals of Ill-Posed Inverses

14:30-15:00

Mihaela van der Schaar -- Next Frontier in Causal Inference: Interpretable Modeling of Treatment Effects over Time

15:00-15:30

Panel Discussion

15:30-16:50

Poster Session

16:50-17:00

Closing Remarks