Keynote: AI for Scientific Discovery

Dec 15, 2024·
Prof. Jane Smith
Prof. Jane Smith
· 1 min read
AI in Science Symposium 2024
Abstract
Prof. Jane Smith will present our lab breakthrough work in applying deep learning to protein structure prediction and drug discovery. The talk will cover our DeepFold platform, clinical validation results, and future directions for AI-driven scientific research.
Date
Dec 15, 2024 2:00 PM — 3:00 PM
Event
Location

Stanford University

450 Jane Stanford Way, Stanford, CA 94305

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.

Prof. Jane Smith
Authors
Principal Investigator & Lab Director
Leading research in computational biology and machine learning applications to scientific discovery.