Name: New York Scientific Data Summit 2024: Addressing Data Challenges in Digital Twins
Start: 2024-09-16T08:00:00-04:00
End: 2024-09-17T17:50:00-04:00
Location: SUNY Global Center New York, NY 10022 USA

New York Scientific Data Summit 2024: Addressing Data Challenges in Digital Twins

from Monday, 16 September 2024 (08:00) to Tuesday, 17 September 2024 (17:50)

Monday, 16 September 2024

08:15 Registration/Continental Breakfast
Registration/Continental Breakfast
08:15 - 08:45
08:45
08:45 - 10:00
Contributions

08:45 Opening and Plan of the Day - Meifeng Lin (Brookhaven National Laboratory)

08:55 Welcome Remarks - Nicholas D'Imperio (Brookhaven National Laboratory)

09:00 Informing Medical Digital Twins: Highlights from the Virtual Human Global Summit - Eric Stahlberg (Frederick National Laboratory for Cancer Research)

09:20 Multiscale Digital Twins for Precision Modeling and Predictive Cell Survival Outcomes - Anuj Kapadia (Oak Ridge National Laboratory)

09:40 Digital Twins for Wind Energy and Leading-Edge Erosion Detection - Susan Minkoff (Brookhaven National Laboratory)
10:00 Coffee Break
Coffee Break
10:00 - 10:30
10:30
10:30 - 11:30
Contributions

10:30 FAIR Data Management at the Joint Genome Institute - Kjiersten Fagnan (Lawrence Berkeley National Laboratory)

10:50 Curating Carbon Storage Data for Reuse: Enabling Research and Modeling from Earth’s Surface to Subsurface - Paige Morkner (National Energy Technology Laboratory)

11:10 TIPPSS to address data-related challenges in the development & deployment of digital twins - Florence Hudson (Columbia University)
11:30
11:30 - 12:00
Contributions

11:30 Grand challenges and cross-disciplinary collaborations for digital twins - Anuj Kapadia (Oak Ridge National Laboratory) Frank Alexander (Argonne National Laboratory) Jeren M. Browning (Idaho National Laboratory) Meifeng Lin (Brookhaven National Laboratory)
12:00 Lunch
Lunch
12:00 - 13:00
13:00
13:00 - 13:30
Contributions

13:00 Data Vault Holdings - Nathaniel Bradley (Data Vault)

13:10 Intempo Health - Josh Ellis (Intempo Health)
13:30
13:30 - 15:10
Contributions

13:30 Frontier AI for Science, Security and Technology (FASST) - Frank Alexander (Argonne National Laboratory)

13:50 On Training Foundation Models on Frontier - Sajal Dash (Oak Ridge National Laboratory)

14:10 Data aggregation and integration for energy infrastructure modeling - Kelly Rose (National Energy Technology Laboratory)

14:30 Physics-Informed Machine Learning and Generative AI for Surrogate Modeling in Science and Industry - Mike O'Keeffe (NVIDIA)

14:50 (Remote) AuroraGPT: Rationale, Data Challenges and Development of an AI Research Assistant - Franck Capello (Argonne National Laboratory)
15:10 Coffee Break/Group Photo
Coffee Break/Group Photo
15:10 - 15:40
15:40
15:40 - 17:00
Contributions

15:40 Responsible AI in the US Banking Industry - John Ratzan (Accenture)

16:00 Synthetic Teammates: Leveraging Digital Twins to Optimize Human-AI Performance in Critical Missions - Svitlana Volkova (Aptima)

16:20 Creating trustworthy open data for scientific discovery - Grace Peng (NIH)

16:40 Operationalizing Biomedical Digital Twins compliant with the National Academies Report: issues regarding machine learning and data quality - Gary An (University of Vermont)
17:00
17:00 - 17:30
Contributions

17:00 Biomedical Digital Twin Industry Panel - Anastasia Christianson (EPAM) Josh Ellis (Intempo Health) Michael Hadjisavas (p-Chips) Nathaniel Bradley (Data Vault)
17:30 Networking Reception
Networking Reception
17:30 - 19:30
Tuesday, 17 September 2024

08:10 Registration/Continental Breakfast
Registration/Continental Breakfast
08:10 - 08:40
08:40
08:40 - 10:00
Contributions

08:40 Fusion Energy Digital Twins - from Experiment to Power Plant - Michael Churchill (Princeton Plasma Physics Laboratory)

09:00 Recent developments in uncertainty quantification and model validation for complex systems - Roger Ghanem (University of Southern California)

09:20 Uncertainty in Digital Twins from Imperfect System Information - Nathan Urban (Brookhaven National Laboratory)

09:40 Navigating uncertainty to build trust in digital twins - Anirban Chaudhuri (University of Texas Austin)
10:00 Coffee Break
Coffee Break
10:00 - 10:30
10:30
10:30 - 11:30
Contributions

10:30 Towards Efficient Neural Representation of Visual Computing Data - Qi Sun (New York University)

10:50 Towards the creation of digital twins for scientific simulations using visualization surrogates - Han-Wei Shen (The Ohio State University)

11:10 Digital Twins for Science - Barton Fiske (NVIDIA)
11:30
11:30 - 12:00
Contributions

11:30 Digital Twin Impact and Market - Barton Fiske (NVIDIA) Grace Peng (NIH) Michael Churchill (PPPL) Mihir Parikh (Nishith Desai Associates)
12:00 Lunch
Lunch
12:00 - 13:00
13:00
13:00 - 13:30
Contributions

13:00 Voice-Enabled Beamlines at National Synchrotron Light Source II (NSLS-II) - Shray Mathur (Brookhaven National Laboratory)

13:07 Menopause: It's about Femhealth, not just Femtech - Michael Liebman (IPQ Analytics LLC)

13:14 Biomimetic Digital Twins and Multiomics: Applications to Rheumatoid Arthritis to Understand the Molecular Mechanisms of Diseas - William G. Kearns (Genzeva)

13:21 Building and Deploying Digital Twins for Business Value - Adam Rasheed (Amazon Web Services)
13:30
13:30 - 14:30
Contributions

13:30 (Remote) Visualization Techniques for the Tokamak Digital Twin - Eliot Feibush (Princeton University)

13:50 Safety, Security and Privacy in the Age of Generative AI - Carlos Soto (Brookhaven National Laboratory)

14:10 Data Privacy, Provenance and Context: Challenges and Perspectives - Nabeel Qureshi (OpenHealth)
14:30 Coffee Break
Coffee Break
14:30 - 15:00
15:00
15:00 - 16:40
Contributions

15:00 (Remote) Multimodal Generative AI for Precision Health - Hoifung Poon (Microsoft)

15:20 Enabling Digital Twins Through Common Infrastructure - Jeren M. Browning (Idaho National Laboratory)

15:40 Digital Twins in Large Scale Scientific Instruments - Lucy Lin (Brookhaven National Laboratory)

16:00 Digital Twin: Open Source Development and Deployment - Anil Srivastava (Open Health Systems Laboratory)

16:20 The Evolving Digital Twin - Driving the Next Wave of Digital Transformation - Dan Isaacs (Digital Twin Consortium)
16:40
16:40 - 17:10
Contributions

16:40 Going Forward: What do we do as a community to facilitate the R&D and applications of digital twins? - Adam Rasheed (Amazon Web Services) Eric Stahlberg (Frederick National Laboratory for Cancer Research) Florence Hudson (Columbia University) Jun Deng (Yale University)
17:10

17:10 - 17:30

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