New York Scientific Data Summit 2026

28 Sept 2026, 08:00 → 29 Sept 2026, 17:00 US/Eastern

Global Classroom (Lower Level) (SUNY Global Center, New York City)

The New York Scientific Data Summit (NYSDS) is a premier annual conference that brings together researchers and thought leaders from academia, national labs, and industry to exchange ideas and foster collaboration focused on data-driven science and technology. This year's summit is co-hosted by Brookhaven National Laboratory, the Institute for Advanced Computational Science (IACS), and the AI Innovation Institute at Stony Brook University. NYSDS 2026 will take place on September 28–29, 2026, in the SUNY Global Center in New York City.

The theme of NYSDS 2026 is "Transformational AI from Science to Society." This year's conference will focus on the ways in which artificial intelligence (AI), machine learning (ML) and robotics are impacting everything from our everyday lives to scientific endeavors.

From accelerating computationally demanding simulations to discerning potential treatment protocols from healthcare data, AI/ML has become an integral part of both our everyday lives and the nature of how we carry out science. Nonetheless, challenges remain to ensure that AI/ML applications are reliable, explainable, and trustworthy.

Robotics, a growing field that couples AI with physically actuated mechanical bodies, has seen increased interest in areas spanning science, technology and manufacturing. The need for real-time decision-making and control, along with the intricate morphology of robots, makes robotics an intriguing application of AI, advanced computing, and optimization.

Event ID: B000007780
 

Monday 28 September

08:00 → 08:45 Registration & Continental Breakfast

08:45 → 09:00 Welcome and Introductory Remarks

Convener: Susan Minkoff (Brookhaven National Laboratory)

09:00 → 10:30 AI for Scientific Discovery in Health Care and Medicine

Convener: Kriti Chopra (Brookhaven National Lab)

09:00 Keynote: AI for Human Health: From Scientific Discovery to Clinical Impact

Speaker: Girish Nadkarni (Icahn School of Medicine at Mount Sinai)

09:30 TBD

Speaker: Olivier Elemento (Weill Cornell)

09:50 Sound as Data: What Listening Reveals That Looking Doesn't

Speaker: Margaret Schedel (Stony Brook University)

10:10 Simulating and Benchmarking AI Model Impacts on Human Psychological, Physical, and Societal Well-Being

Speaker: Pat Pataranutaporn (Massachusetts Institute of Technology)

10:30 → 11:00 Morning Coffee Break

11:00 → 12:30 Genesis and AI for Science

Convener: Susan Minkoff (Brookhaven National Laboratory)

11:00 Keynote: Fueling the AI & R&D Lifecycle: Developing Data Infrastructure, Access, and Services at Scale for the Genesis Mission

Speaker: Kelly Rose (Department of Energy)

11:30 Beyond the Model: Building the Inference Infrastructure for Agentic Science

Speaker: Prasanna Balaprakash (PrimaLabs)

11:50 What Can Self-Driving Cars Teach Us About Clouds?

Speaker: Arthur Sedlacek (Brookhaven National Laboratory)

12:10 Physics-Aware AI to Engineer Materials: From Atoms to Technological Applications

Speaker: Michele Simoncelli (Columbia University)

12:30 → 13:30 Lunch Break

13:30 → 15:00 AI for Science

Convener: Meifeng Lin (Brookhaven National Laboratory)

13:30 Keynote: AI for Science – Opportunities and Challenges

Speaker: Salman Habib (Argonne National Laboratory)

14:00 Physics-Informed AI Pipeline for Real-Time Interpretation of X-ray Absorption Spectra

Speaker: Deyu Lu (Brookhaven National Laboratory & Stony Brook University)

14:20 Toward Foundation Models for Electronic Structure of Molecules and Materials

Speaker: Tianyu Zhu (Yale University)

14:40 Stochastic Gradient Descent and Reproducibility in Stochastic Optimization

Speaker: David Shirokoff (New Jersey Institute of Technology)

15:00 → 15:30 Afternoon Coffee Break

15:30 → 16:30 AI for Risk Assessment: National Security, Climate and Finance

Convener: Sanket Jantre (Brookhaven National Laboratory)

15:30 AI for Climate: From Prediction to Impact

Speaker: Kevin Reed (Stony Brook University and the NY Climate Exchange)

15:50 Algorithmic Trading with Large-Scale Deep Learning

Speaker: Atlas Wang (University of Texas Austin & XTX)

16:10 TBD

Speaker: Anil Chinnan (Lockheed Martin)

16:30 → 17:20 Lightning Talks I: Emerging AI Research Across Domains

Convener: Niraj Aryal (Brookhaven National Laboratory)

16:30 Raven: Trustworthy Agentic AI for Closed-Loop Materials Discovery

Speaker: Renjie Li (University of Illinois Urbana-Champaign / Synthera Labs)

16:40 Interpretable Multimodal AI Integrating Structured Electronic Health Records and Large Language Models for Postoperative Infection Surveillance

Speaker: Yaxu Zhuang (University of Colorado Anschutz Medical Campus)

16:50 SAFE: Structured Attribute-Factorized Embeddings for Scalable and Trustworthy Intersectional Fairness

Speaker: Adam Ge (MIT Primes Researcher)

17:00 From Orchestration to Capability: Building Framework-Free Scientific Agent Systems with Portable Units of Knowledge

Speaker: Shray Mathur (Brookhaven National Laboratory)

17:10 Temporal Phenotyping of Breast Cancer Care Trajectories from Longitudinal EHR Data Using Unsupervised Machine Learning

Speaker: Amal Bilal (Columbia University)

17:20 → 17:30 Pre-Reception Break

17:30 → 19:30 Reception & Poster Session

Tuesday 29 September

08:00 → 09:00 Registration & Continental Breakfast

09:00 → 10:30 Advancing AI for Energy

Convener: Jiequn Han (Flatiron Institute)

09:00 Keynote: AI Foundations for the Electric Grid

Speaker: Hendrik Hamann (Brookhaven National Laboratory & Stony Brook University)

09:30 AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers

Speaker: Ronnie Sircar (Princeton University)

09:50 Data-Driven Design of Stellarators

Speaker: Misha Padidar (Flatiron Institute)

10:10 Generative Artificial Intelligence for Uncertainty Quantification

Speaker: Guannan Zhang (Oak Ridge National Laboratory)

10:30 → 11:00 Morning Coffee Break

11:00 → 12:00 AI for Science and Education

11:00 Disrupt Innovation: Protocols and Quantitative Methods

Speaker: Sorin Adam Matei (Purdue University)

11:20 Multimodal Reasoning Models for Science

Speaker: Sandeep Madireddy (Argonne National Laboratory)

11:40 AI-guided Drug Discovery with Automated Experimentation

Speaker: Emma Bouchard (Carnegie Mellon University)

12:00 → 13:00 Lunch Break

13:00 → 14:50 Robotics & Embodied AI

Convener: Wei Xu (Brookhaven National Laboratory)

13:00 Keynote: Robot Dexterity in the Real World

Speaker: Nancy Pollard (Carnegie Mellon University)

13:30 Edge AI: Everything, Everywhere, All at Once

Speaker: Yiran Chen (Duke University)

13:50 Automating discovery: From cognitive robotics to particle physics

Speaker: Hod Lipson (Columbia University)

14:10 Designing the Body of Intelligence: Generative AI for Robot Mechanism Design

Speaker: Anurag Purwar (Stony Brook University)

14:30 Removing the Barriers to Simulation Adoption with Automated Environment Construction and Synthetic Data Generation

Speaker: Ajay Mandlekar (NVIDIA)

14:50 → 15:20 Afternoon Coffee Break

15:20 → 16:00 Lightning Talks II

Convener: Chuntian Cao (Brookhaven National Laboratory)

15:20 Local Symmetry Breaking and Correlated Fluctuations in Quantum Materials from Fine-tuned Atomistic Foundation Models

Speaker: Niraj Aryal (Brookhaven National Laboratory)

15:30 Towards a practical universal approximation theorem for quantum machine learning

Speaker: John Zweck (New York Institute of Technology)

15:40 Variational Transformer Ansatz for Dissipative Quantum Many-Body Steady States

Speaker: Lu Wei (Stony Brook University)

15:50 Federated Scientific Intelligence: From Distributed Learning to Distributed Discovery

Speaker: Ravi Madduri (Argonne National Laboratory)

16:00 → 16:50 Panel: Opportunities & Challenges for Science and Society in the Age of AI

16:50 → 17:00 Concluding Remarks