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AI≡Science: Strengthening the Bond Between the Sciences and Artificial Intelligence
Location
Calvin Lab auditorium
Date
Monday, June 10
–
Friday, June 14, 2024
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The Workshop
Schedule
Videos
Monday, June 10, 2024
9
–
9:20 a.m.
Coffee and Check-In
9:20
–
9:30 a.m.
Welcoming Remarks
9:30
–
10:30 a.m.
Harnessing the properties of equivariant neural networks to understand and design materials
Tess Smidt (MIT)
10:30
–
11 a.m.
Break
11 a.m.
–
12 p.m.
Debugging genomic profiling experiments and predictive models with interpretation tools
Anshul Kundaje (Stanford University)
12
–
2 p.m.
Lunch (on your own)
2
–
3 p.m.
Explorations in Exploration: Deep Learning meets Value of Information for Sequential Experimental Design
Yisong Yue (Caltech)
3
–
3:30 p.m.
Break
3:30
–
4:30 p.m.
From Entropy to Artistry: on Thermodynamics and Generative AI
Stephan Mandt (UC Irvine)
4:30
–
5:30 p.m.
Reception
Tuesday, June 11, 2024
8:30
–
9 a.m.
Coffee and Check-In
9
–
10 a.m.
The State of Protein Structure Prediction and Friends
Mohammed AlQuraish (Columbia)
10
–
10:30 a.m.
Break
10:30
–
11:30 a.m.
Illuminating protein space with generative models
John Ingraham (Generate Biomedicines)
11:30 a.m.
–
1:30 p.m.
Lunch (on your own)
1:30
–
2:30 p.m.
Generalizable sampling of conformational ensembles with latent space dynamics
Grant Rotskoff (Stanford)
2:30
–
3 p.m.
Break
3
–
4 p.m.
Machine learning for structural biology
Ellen Zhong (Princeton)
4
–
5 p.m.
Short Talks
Wednesday, June 12, 2024
8:30
–
9 a.m.
Coffee and Check-In
9
–
10 a.m.
ML gradients in Molecular Simulations
Rafael Gomez-Bombarelli (MIT)
10
–
10:30 a.m.
Break
10:30
–
11:30 a.m.
Deep learning and numerical methods intersections for improving molecular and fluid dynamics
Aditi Krishnapriyan (UC Berkeley)
11:30 a.m.
–
1:30 p.m.
Lunch (on your own)
1:30
–
2:30 p.m.
Talk By
Zack Ulissi (Meta)
2:30
–
3 p.m.
Break
3
–
4 p.m.
Symmetries in Machine Learning for Materials Science
Ryan Adams (Princeton)
4
–
5 p.m.
Panel/Discussion
Thursday, June 13, 2024
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10:30 a.m.
Open challenges in AI for molecular design: representation, experimental alignment, and oracle availability
Connor Coley (MIT)
10:30
–
10:40 a.m.
Break
10:40
–
11:25 a.m.
Short Talks
11:25 a.m.
–
12:25 p.m.
Machine learning models of differential gene expression
Sara Mostafavi (University of Washington)
12:25
–
2:30 p.m.
Lunch (on your own)
2:30
–
5 p.m.
Meet at Simons Institute for organized social activities
Friday, June 14, 2024
8:30
–
9 a.m.
Coffee and Check-In
9
–
10 a.m.
Some thoughts on ML-based protein engineering
Jennifer Listgarten (UC Berkeley)
10
–
10:30 a.m.
Break
10:30
–
11:30 a.m.
Data is as Data Does: The Influence of Computation on Inference
John Patrick Cunningham (Columbia University)
11:30 a.m.
–
1:30 p.m.
Lunch (on your own)
1:30
–
2:30 p.m.
Robust Equation Discovery and Sparse Sensing with Guarantees
Krithika Manohar (UW)
2:30
–
3 p.m.
Break
3
–
4 p.m.
Short Talks
4
–
5 p.m.
Error Embraced: Making Trustworthy Scientific Decisions with Imperfect Predictions
Clara Wong-fannjiang (Genentech)
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