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New York Scientific Data Summit 2026

28–29 Sept 2026
SUNY Global Center, New York City
US/Eastern timezone

Summit Contacts

Contribution List

36 / 36
1. Keynote: AI for Human Health: From Scientific Discovery to Clinical Impact
Girish Nadkarni (Icahn School of Medicine at Mount Sinai)
28/09/2026, 09:00
2. TBD
Olivier Elemento (Weill Cornell)
28/09/2026, 09:30
3. Sound as Data: What Listening Reveals That Looking Doesn't
Margaret Schedel (Stony Brook University)
28/09/2026, 09:50
4. Simulating and Benchmarking AI Model Impacts on Human Psychological, Physical, and Societal Well-Being
Pat Pataranutaporn (Massachusetts Institute of Technology)
28/09/2026, 10:10
5. Keynote: Fueling the AI & R&D Lifecycle: Developing Data Infrastructure, Access, and Services at Scale for the Genesis Mission
Kelly Rose (Department of Energy)
28/09/2026, 11:00
6. Beyond the Model: Building the Inference Infrastructure for Agentic Science
Prasanna Balaprakash (PrimaLabs)
28/09/2026, 11:30
7. What Can Self-Driving Cars Teach Us About Clouds?
Arthur Sedlacek (Brookhaven National Laboratory)
28/09/2026, 11:50
8. Physics-Aware AI to Engineer Materials: From Atoms to Technological Applications
Michele Simoncelli (Columbia University)
28/09/2026, 12:10
9. Keynote: AI for Science – Opportunities and Challenges
Salman Habib (Argonne National Laboratory)
28/09/2026, 13:30
10. Physics-Informed AI Pipeline for Real-Time Interpretation of X-ray Absorption Spectra
Deyu Lu (Brookhaven National Laboratory & Stony Brook University)
28/09/2026, 14:00
11. Toward Foundation Models for Electronic Structure of Molecules and Materials
Tianyu Zhu (Yale University)
28/09/2026, 14:20
12. Stochastic Gradient Descent and Reproducibility in Stochastic Optimization
David Shirokoff (New Jersey Institute of Technology)
28/09/2026, 14:40
13. AI for Climate: From Prediction to Impact
Kevin Reed (Stony Brook University and the NY Climate Exchange)
28/09/2026, 15:30
14. Algorithmic Trading with Large-Scale Deep Learning
Atlas Wang (University of Texas Austin & XTX)
28/09/2026, 15:50
15. TBD
Anil Chinnan (Lockheed Martin)
28/09/2026, 16:10
16. Raven: Trustworthy Agentic AI for Closed-Loop Materials Discovery
Renjie Li (University of Illinois Urbana-Champaign / Synthera Labs)
28/09/2026, 16:30
17. Interpretable Multimodal AI Integrating Structured Electronic Health Records and Large Language Models for Postoperative Infection Surveillance
Yaxu Zhuang (University of Colorado Anschutz Medical Campus)
28/09/2026, 16:40
18. SAFE: Structured Attribute-Factorized Embeddings for Scalable and Trustworthy Intersectional Fairness
Adam Ge (MIT Primes Researcher)
28/09/2026, 16:50
19. From Orchestration to Capability: Building Framework-Free Scientific Agent Systems with Portable Units of Knowledge
Shray Mathur (Brookhaven National Laboratory)
28/09/2026, 17:00
20. Temporal Phenotyping of Breast Cancer Care Trajectories from Longitudinal EHR Data Using Unsupervised Machine Learning
Amal Bilal (Columbia University)
28/09/2026, 17:10
21. Keynote: AI Foundations for the Electric Grid
Hendrik Hamann (Brookhaven National Laboratory & Stony Brook University)
29/09/2026, 09:00
22. AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers
Ronnie Sircar (Princeton University)
29/09/2026, 09:30
23. Data-Driven Design of Stellarators
Misha Padidar (Flatiron Institute)
29/09/2026, 09:50
24. Generative Artificial Intelligence for Uncertainty Quantification
Guannan Zhang (Oak Ridge National Laboratory)
29/09/2026, 10:10
25. Disrupt Innovation: Protocols and Quantitative Methods
Sorin Adam Matei (Purdue University)
29/09/2026, 11:00
26. Multimodal Reasoning Models for Science
Sandeep Madireddy (Argonne National Laboratory)
29/09/2026, 11:20
27. AI-guided Drug Discovery with Automated Experimentation
Emma Bouchard (Carnegie Mellon University)
29/09/2026, 11:40
28. Keynote: Robot Dexterity in the Real World
Nancy Pollard (Carnegie Mellon University)
29/09/2026, 13:00
31. Edge AI: Everything, Everywhere, All at Once
Yiran Chen (Duke University)
29/09/2026, 13:30
29. Automating discovery: From cognitive robotics to particle physics
Hod Lipson (Columbia University)
29/09/2026, 13:50
30. Designing the Body of Intelligence: Generative AI for Robot Mechanism Design
Anurag Purwar (Stony Brook University)
29/09/2026, 14:10
32. Removing the Barriers to Simulation Adoption with Automated Environment Construction and Synthetic Data Generation
Ajay Mandlekar (NVIDIA)
29/09/2026, 14:30
33. Local Symmetry Breaking and Correlated Fluctuations in Quantum Materials from Fine-tuned Atomistic Foundation Models
Niraj Aryal (Brookhaven National Laboratory)
29/09/2026, 15:20
34. Towards a practical universal approximation theorem for quantum machine learning
John Zweck (New York Institute of Technology)
29/09/2026, 15:30
35. Variational Transformer Ansatz for Dissipative Quantum Many-Body Steady States
Lu Wei (Stony Brook University)
29/09/2026, 15:40
36. Federated Scientific Intelligence: From Distributed Learning to Distributed Discovery
Ravi Madduri (Argonne National Laboratory)
29/09/2026, 15:50

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