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Starts 4 June 2025 20:25
Ends 4 June 2025
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35 minutes
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Overview
Discover how generative AI can unlock cellular complexity in this invited talk by Maria Brbic from EPFL at the Eric and Wendy Schmidt Center Symposium.
Syllabus
- Introduction to Cellular Complexity
- Fundamentals of Generative AI
- Generative AI in Biological Research
- Techniques for Modeling Cellular Processes
- Latest Advances in AI for Cellular Understanding
- Applications and Implications
- Future Directions in AI and Cellular Biology
- Q&A and Discussion Session
Overview of cellular biology and the complexity of cells
Importance of understanding cellular mechanisms
Overview of generative models (e.g., GANs, VAEs, diffusion models)
Key concepts in machine learning and AI relevant to biology
Case studies of generative AI applications in biology
Benefits and limitations of using AI to model biological processes
Approaches to simulating cellular dynamics
AI-driven predictions of cellular behavior
Recent breakthroughs and ongoing research
Notable tools and platforms for generative biology
Use cases of generative AI in drug discovery and genomics
Ethical considerations in AI and biology
Emerging trends and technologies
Opportunities for interdisciplinary collaboration
Interactive session to address specific questions
Discussing potential projects and collaborations
Subjects
Computer Science
