Name: New York Scientific Data Summit 2025: Powering the Future of Science with Artificial Intelligence
Start: 2025-09-11T08:00:00-04:00
End: 2025-09-12T21:30:00-04:00
Location: SUNY Global Center New York, NY 10022 USA

New York Scientific Data Summit 2025: Powering the Future of Science with Artificial Intelligence

from Thursday, September 11, 2025 (8:00 AM) to Friday, September 12, 2025 (9:30 PM)

Monday, September 8, 2025
Tuesday, September 9, 2025
Wednesday, September 10, 2025
Thursday, September 11, 2025

8:00 AM

8:00 AM - 9:00 AM
Room: Global Classroom (Lower Level)
9:00 AM
9:00 AM - 10:30 AM
Room: Global Classroom (Lower Level)
Contributions

9:00 AM Welcome Remarks - John Hill (Brookhaven National Laboratory)

9:10 AM The Future of Autonomous Physical Science - Kevin Yager (Brookhaven National Laboratory)

9:30 AM Accelerating the Development of Fusion with AI and HPC - Shantenu Jha (Princeton Plasma Physics Laboratory)

9:50 AM AI for Biomedical Research - Anuj Kapadia (Oak Ridge National Laboratory)

10:10 AM ML/AI Opportunities in the Lifecycle of Aircraft Engines - Genghis Khan (GE Aerospace)
10:30 AM

10:30 AM - 10:35 AM
Room: Global Classroom (Lower Level)

10:35 AM Morning Coffee Break
Morning Coffee Break
10:35 AM - 11:00 AM
Room: Global Classroom (Lower Level)
11:00 AM
11:00 AM - 11:50 AM
Room: Global Classroom (Lower Level)
Contributions

11:00 AM [Keynote] Empire AI - Robert Harrison (Empire AI)

11:30 AM From Algorithms to Action: Deploying AI for Healthy Communities - Rumi Chunara (New York University)
11:50 AM

11:50 AM - 12:00 PM
Room: Global Classroom (Lower Level)

12:00 PM Lunch Break
Lunch Break
12:00 PM - 1:00 PM
Room: Global Classroom (Lower Level)
1:00 PM
1:00 PM - 2:30 PM
Room: Global Classroom (Lower Level)
Contributions

1:00 PM [Keynote] End-to-End Audio Processing: From On-Device Models to LLMs (Remote) - Tara Sainath (Google)

1:30 PM Accelerated Science via Autonomous Experimentation - Benji Maruyama (Air Force Research Laboratory)

1:50 PM From Genome to Theorem: Can LLM Agents Do Science? (Remote) - Mengdi Wang (Princeton University)

2:10 PM The Next Frontier of AI: Bridging Digital and Physical Embodiment - Vivan Amin (Microsoft)
2:30 PM Afternoon Coffee Break/ Poster Session
Afternoon Coffee Break/ Poster Session
2:30 PM - 3:00 PM
Room: Global Classroom (Lower Level)
3:00 PM
3:00 PM - 4:00 PM
Room: Global Classroom (Lower Level)
Contributions

3:00 PM (CANCELED) Title TBD - Hal Finkel (DOE)

3:20 PM CRAFT in Action: Autonomous Agent Creation, Memory, and Self-Improvement - Aditya Vempaty (Emergence AI)

3:40 PM FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics - David Park (Brookhaven National Laboratory) Shuhang Li (Brookhaven National Laboratory)
4:00 PM
4:00 PM - 5:00 PM
Room: Global Classroom (Lower Level)
Contributions

4:00 PM Physics-Informed Machine Learning for Mask Design in Interference Lithography - Chuntian Cao (Brookhaven National Laboratory)

4:10 PM Reinforcement Learning for Humanoid Locomotion in Isaac Lab with VR Evaluation - Jasmin Lin (Brookhaven National Laboratory)

4:20 PM Neural Network Memory Criticality: from Echo State to HiPPO and Beyond - Evan Coats (University of Illinois Urbana-Champaign)

4:30 PM AI-Powered Assistant for Long-Term Access to RHIC Knowledge - Mohammad Atif (Brookhaven National Lab)

4:40 PM SciAidanBench: Evaluating LLM Scientific Creativity - Shray Mathur (Brookhaven National Laboratory)

4:50 PM Boundary‑Informed Method of Lines for Physics‑Informed Neural Networks - Maximilian Cederholm (Stony Brook University)
5:00 PM
5:00 PM - 5:30 PM
Room: Global Classroom (Lower Level)
Contributions

5:00 PM What's next for GenAI/Agentic AI? Current challenges, failure points and risks. - Anuj Kapadia (Oak Ridge National Laboratory) Genghis Khan (GE Aerospace) Kevin Yager (Brookhaven National Laboratory) Vivan Amin (Microsoft)
5:30 PM

5:30 PM - 7:30 PM
Room: Global Classroom (Lower Level)
Friday, September 12, 2025

8:00 AM

8:00 AM - 9:00 AM
Room: Global Classroom (Lower Level)
9:00 AM
9:00 AM - 10:30 AM
Room: Global Classroom (Lower Level)
Contributions

9:00 AM [Keynote] AuroraGPT: A Foundation Model for Science - Rajeev Thakur (Argonne National Laboratory)

9:30 AM MATEY: Multiscale Adaptive Foundation Model for Computational Fluid Dynamics - Pei Zhang (Oak Ridge National Laboratory)

9:50 AM DISCO: Learning to DISCover an Evolution Operator as a Multi-Physics Foundation Model - Jiequn Han (Flatiron Institute)

10:10 AM Can We Trust Our Epistemic Proxies? Observations on Reasoning and the Gullibility of Language Models - Rohan Pradhan (Amazon Web Services) Steve Goley (Amazon Web Services)
10:30 AM Morning Coffee Break / Poster Session
Morning Coffee Break / Poster Session
10:30 AM - 11:00 AM
Room: Global Classroom (Lower Level)
10:30 AM - 11:00 AM
Room: Global Classroom (Lower Level)
Contributions

10:30 AM Multi-Agent AI in the Real World - Saptarashmi Bandyopadhyay (City University of New York)

10:30 AM AI-Enhanced Multi-modality Data Processing and Visualization for Scientific Computing and Robotics - Guoyu Lu (State University of New York at Binghamton)

10:30 AM Exploring Reinforcement Learning for Optimal Bunch Merge in the AGS - Yuan Gao (Brookhaven National Laboratory)

10:30 AM Active learning Gaussian process classification for mapping multidimensional phase diagram - Niraj Aryal (Brookhaven National Laboratory)

10:30 AM Cohort-level protection and individualized inference in artificial intelligence-based monitoring applications - Vishal Subedi (University of Maryland Baltimore County)

10:30 AM Physics-Informed Active Learning via Functional Simulated Annealing for Neural Operator - Albert Ding (Stony Brook University)

10:30 AM Scientific Machine Learning for Pulsed Infrared Thermography Nondestructive Evaluation - Hannah Havel (Argonne National Laboratory)

10:30 AM RelV: A Dynamic Relational Vector Database for Multi-Functional Context Window Optimization - Maximilian Spencer (Binghamton University)

10:30 AM Velocity-Inferred Hamiltonian Networks: Symplectic Dynamics from Position-Only Observations - Claire Yu (Stony Brook University)

10:30 AM GRU-Based Learning for the Identification of Congestion Protocols in TCP Traffic - Paul Bergeron (Marist University)

10:30 AM Solving Integer Linear Programs via Decision Space Learning - Yadong Zhang (Vanderbilt University)
11:00 AM
11:00 AM - 12:00 PM
Room: Global Classroom (Lower Level)
Contributions

11:00 AM Integrated AI for Science Infrastructure and the Upcoming NERSC "Doudna" System - Wahid Bhimji (Lawrence Berkeley National Laboratory)

11:20 AM Meeting developers where they’re at; a first principles approach to enabling cross functional teams across software and hardware, from single device to datacenter scale - Felix LeClair (Tenstorrent)

11:40 AM Efficient Programming on Heterogeneous Accelerators - Peipei Zhou (Brown University)
12:00 PM Lunch Break
Lunch Break
12:00 PM - 1:00 PM
Room: Global Classroom (Lower Level)
1:00 PM
1:00 PM - 2:30 PM
Room: Global Classroom (Lower Level)
Contributions

1:00 PM [Keynote] Information Lattices and the Future of AI for Creativity and Discovery - Lav Varshney (Stony Brook University)

1:30 PM Scaling Earthly AI to Help Children with Speech and Language Service Needs - Jinjun Xiong (University of Buffalo)

1:50 PM GenBioCELL: Generalizable, Training-Free Biological Image Analysis via Collaborative and Self-Evolving Large Language Model Agents - Yuewei Lin (Brookhaven National Laboratory)

2:10 PM The Emergence of General Robotic Behavior from an Interpolation Perspective - Mahi Shafiullah (Meta/UC Berkeley)
2:30 PM Afternoon Coffee Break
Afternoon Coffee Break
2:30 PM - 3:00 PM
Room: Global Classroom (Lower Level)
3:00 PM
3:00 PM - 4:20 PM
Room: Global Classroom (Lower Level)
Contributions

3:00 PM Robotics and Embodied AI at Brookhaven National Lab - Carlos Soto (Brookhaven National Laboratory)

3:20 PM Robotic Manipulation: The Final Frontier - Matei Ciocarlie (Columbia University)

3:40 PM Multimodal Video Models for Robot Learning - Michael Ryoo (Stony Brook University)

4:00 PM Sharpening the Future of Supply Chain: Harnessing the Power of Robotics and Agentic AI (Remote) - Tarik Hammadou (NVIDIA)
4:20 PM
4:20 PM - 4:50 PM
Room: Global Classroom (Lower Level)
Contributions

4:20 PM Opportunities and Challenges for Robotics and Embodied AI - Carlos Soto (Brookhaven National Laboratory) Mahi Shafiullah (Meta/UC Berkeley) Matei Ciocarlie (Columbia University) Michael Ryoo (Stony Brook University)
4:50 PM

4:50 PM - 5:00 PM
Room: Global Classroom (Lower Level)