Keynote: AI for Scientific Discovery

Sun, 15 Dec 2024 14:00:00 +0000

About the Talk

Prof. Jane Smith will deliver the opening keynote at the prestigious International AI in Science Symposium, highlighting our lab’s pioneering work in computational biology and drug discovery.

Key Topics

AI-Powered Drug Discovery

Machine learning platforms for molecular design
Accelerating clinical translation from years to months
Real-world case studies and clinical outcomes

Protein Structure Prediction

DeepFold architecture and breakthrough results
Comparison with AlphaFold and novel improvements
Applications in understanding disease mechanisms

Future of AI in Science

Emerging opportunities in materials science and climate research
Challenges in model interpretability and validation
Building interdisciplinary research partnerships

Expected Impact

This keynote will position our lab as a thought leader in AI-driven scientific research and attract potential collaborators from leading institutions worldwide.

Conference Details

Venue: Stanford University Memorial Auditorium
Date: December 15, 2024
Time: 2:00-3:00 PM PST
Audience: 500+ researchers, industry leaders, and policymakers
Format: 45-minute talk + 15-minute Q&A

Media Coverage

The talk will be livestreamed and recorded, with proceedings published in the Journal of AI in Science special issue.

Machine Learning

Thu, 11 Jan 2024 00:00:00 +0000

Overview

We build robust and interpretable ML models to accelerate scientific discovery across domains, with emphasis on generalization, uncertainty, and physical constraints.

Focus Areas

Physics-informed neural networks (PINNs)
Graph neural networks for structured scientific data
Interpretable models and reliability assessment

Selected Publications

See our recent work in Nature Machine Intelligence and NeurIPS.

AI | Research Lab