The Schedule

Day 1: April 4th, 2024

Breakfast & Check In 8:00 - 9:00

9:00- 9:10

Welcome Remarks

9:10 - 10:10

Keynote 1 : Kun Zhang

Causal Representation Learning: Discovery of the Hidden World

Break 10:10 - 10:20

10:20 - 11:20

Keynote 2: Peng Ding

Causal Inference in Network Experiments: Regression-based Analysis and Design-based Properties

Break 11:20 - 11:30

11:30 - 12:30

Keynote 3: Emre Kiciman

A New Frontier at the Intersection of Causality and LLMs

Lunch 12:30 - 1:30

1:30 - 2:30

Keynote 4: Yuqi Gu

Identifiable Deep Generative Models for Rich Data Types with Discrete Latent Layers

Break 2:30 - 2:40

2:40 - 3:40

Keynote 5: Martin Jinye Zhang

Leveraging Causal Inference to Elucidate the Relationship Between Genes and Disease

Break 3:40 - 3:50

3:50 - 4:50

Panel Discussion

Local faculty members + invited speakers

4:50 - 5:00

Closing Remarks

Day 2: April 5th, 2024

Breakfast & Check In 8:00 - 9:00

9:00- 9:10

Opening Remarks

9:10 - 10:10

Keynote 6: Stefan Wager

Treatment Effects in Market Equilibrium

Break 10:10 - 10:20

10:20 - 10:50

Industry Talk 1: Ali Arsanjani from Google Cloud

Causal Reasoning for Responsible AI: Challenges and Opportunities in the Age of Large Language Models

10:50 - 11:20

Industry Talk 2: Lindsey Kostas from Qualcomm

11:20 - 11:50

Industry Talk 3: Brian Duke from Prism Data

11:50 - 12:00

Closing Remarks

12:00 - 12:30

Open Discussion

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