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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

    37 out of 37 displayed
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    1. 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. 2. From Whole Genomes to Approved Drugs: Foundation Models and Bayesian AI in Precision Oncology
      Olivier Elemento (Weill Cornell)
      28/09/2026, 09:30
    3. 3. Sound as Data: What Listening Reveals That Looking Doesn't
      Margaret Schedel (Stony Brook University)
      28/09/2026, 09:50
    4. 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. 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. 6. Beyond the Model: Building the Inference Infrastructure for Agentic Science
      Prasanna Balaprakash (PrimaLabs)
      28/09/2026, 11:30
    7. 7. What Can Self-Driving Cars Teach Us About Clouds?
      Arthur Sedlacek (Brookhaven National Laboratory)
      28/09/2026, 11:50
    8. 8. Physics-Aware AI to Engineer Materials: From Atoms to Technological Applications
      Michele Simoncelli (Columbia University)
      28/09/2026, 12:10
    9. 9. Keynote: AI for Science – Opportunities and Challenges
      Salman Habib (Argonne National Laboratory)
      28/09/2026, 13:30
    10. 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. 11. Toward Foundation Models for Electronic Structure of Molecules and Materials
      Tianyu Zhu (Yale University)
      28/09/2026, 14:20
    12. 12. Stochastic Gradient Descent and Reproducibility in Stochastic Optimization
      David Shirokoff (New Jersey Institute of Technology)
      28/09/2026, 14:40
    13. 13. AI for Climate: From Prediction to Impact
      Kevin Reed (Stony Brook University and the NY Climate Exchange)
      28/09/2026, 15:30
    14. 14. Algorithmic Trading with Large-Scale Deep Learning
      Atlas Wang (University of Texas Austin & XTX)
      28/09/2026, 15:50
    15. 15. 21st Century Security® – Risk Assessment and Impacts of AI
      Anil Chinnan (Lockheed Martin)
      28/09/2026, 16:10
    16. 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. 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. 18. SAFE: Structured Attribute-Factorized Embeddings for Scalable and Trustworthy Intersectional Fairness
      Adam Ge (MIT Primes Researcher)
      28/09/2026, 16:50
    19. 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. 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. 21. Keynote: AI Foundations for the Electric Grid
      Hendrik Hamann (Brookhaven National Laboratory & Stony Brook University)
      29/09/2026, 09:00
    22. 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. 23. Data-Driven Design of Stellarators
      Misha Padidar (Flatiron Institute)
      29/09/2026, 09:50
    24. 24. Generative Artificial Intelligence for Uncertainty Quantification
      Guannan Zhang (Oak Ridge National Laboratory)
      29/09/2026, 10:10
    25. 25. Disrupt Innovation: Protocols and Quantitative Methods
      Sorin Adam Matei (Purdue University)
      29/09/2026, 11:00
    26. 26. Multimodal Reasoning Models for Science
      Sandeep Madireddy (Argonne National Laboratory)
      29/09/2026, 11:20
    27. 27. AI-guided Drug Discovery with Automated Experimentation
      Emma Bouchard (Carnegie Mellon University)
      29/09/2026, 11:40
    28. 28. Keynote: Robot Dexterity in the Real World
      Nancy Pollard (Carnegie Mellon University)
      29/09/2026, 13:00
    29. 31. Edge AI: Everything, Everywhere, All at Once
      Yiran Chen (Duke University)
      29/09/2026, 13:30
    30. 29. Automating discovery: From cognitive robotics to particle physics
      Hod Lipson (Columbia University)
      29/09/2026, 13:50
    31. 30. Designing the Body of Intelligence: Generative AI for Robot Mechanism Design
      Anurag Purwar (Stony Brook University)
      29/09/2026, 14:10
    32. 32. Removing the Barriers to Simulation Adoption with Automated Environment Construction and Synthetic Data Generation
      Ajay Mandlekar (NVIDIA)
      29/09/2026, 14:30
    33. 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. 34. Towards a practical universal approximation theorem for quantum machine learning
      John Zweck (New York Institute of Technology)
      29/09/2026, 15:30
    35. 35. Variational Transformer Ansatz for Dissipative Quantum Many-Body Steady States
      Lu Wei (Stony Brook University)
      29/09/2026, 15:40
    36. 36. Federated Scientific Intelligence: From Distributed Learning to Distributed Discovery
      Chinmay Hegde (New York University)
      29/09/2026, 15:50
    37. 37. Opportunities & Challenges for Science and Society in the Age of AI
      Kelly Rose (Department of Energy), Kevin Reed (Stony Brook University/The New York Climate Exchange), Margaret Schedel (Stony Brook University), Nancy Pollard (Carnegie Mellon University), Salman Habib (Argonne National Laboratory), Sorin Adam Matei (Purdue University)
      29/09/2026, 16:00

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