Machine Learning in Chemistry Workshop at CMU
Join us for a two-day workshop on AI methods for molecular sciences
Event
Machine Learning in Chemistry Workshop at CMU
The Isayev Lab is hosting a two-day workshop on Machine Learning in Chemistry at Carnegie Mellon University!
Event Details
Dates: December 10-11, 2024 Location: Doherty Hall, Carnegie Mellon University Registration: Free (limited spots available)
Program Highlights
Day 1: Foundations
- Introduction to neural networks for chemistry
- Graph neural networks for molecular property prediction
- Hands-on tutorial: Building your first molecular ML model
- Panel discussion: Future of AI in chemistry
Day 2: Advanced Topics
- Neural network potentials for molecular dynamics
- Generative models for drug discovery
- Active learning and uncertainty quantification
- Hackathon: Apply ML to real chemistry problems
Featured Speakers
- Dr. Olexandr Isayev (CMU) - Neural network potentials
- Dr. Alán Aspuru-Guzik (Toronto) - Self-driving laboratories
- Dr. Heather Kulik (MIT) - Machine learning for catalysis
- Industry panel - Applications in pharmaceutical R&D
Who Should Attend
- Graduate students in chemistry, materials science, or related fields
- Postdocs and faculty interested in ML methods
- Industry researchers working on computational chemistry
- Anyone curious about AI for molecular sciences
Registration
Space is limited to 100 participants. Register at: workshop.isayevlab.org
Early registration deadline: November 30, 2024
Sponsors
This workshop is supported by:
- CMU Department of Chemistry
- NSF CAREER Award
- NVIDIA Academic Programs
We look forward to seeing you there! Questions? Contact us at workshop@isayevlab.org