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

Contribution List

1. Opening and Plan of the Day

Meifeng Lin (Brookhaven National Laboratory)

16/09/2024, 08:45

Motivating Applications of Digital Twins and Challenges

2. Welcome Remarks

Nicholas D'Imperio (Brookhaven National Laboratory)

16/09/2024, 08:55

Motivating Applications of Digital Twins and Challenges

3. Informing Medical Digital Twins: Highlights from the Virtual Human Global Summit

Eric Stahlberg (Frederick National Laboratory for Cancer Research)

16/09/2024, 09:00

Motivating Applications of Digital Twins and Challenges

4. Multiscale Digital Twins for Precision Modeling and Predictive Cell Survival Outcomes

Anuj Kapadia (Oak Ridge National Laboratory)

16/09/2024, 09:20

Motivating Applications of Digital Twins and Challenges

5. Digital Twins for Wind Energy and Leading-Edge Erosion Detection

Susan Minkoff (Brookhaven National Laboratory)

16/09/2024, 09:40

Motivating Applications of Digital Twins and Challenges

6. FAIR Data Management at the Joint Genome Institute

Kjiersten Fagnan (Lawrence Berkeley National Laboratory)

16/09/2024, 10:30

Data Acquisition and Management

7. Curating Carbon Storage Data for Reuse: Enabling Research and Modeling from Earth’s Surface to Subsurface

Paige Morkner (National Energy Technology Laboratory)

16/09/2024, 10:50

Data Acquisition and Management

26. TIPPSS to address data-related challenges in the development & deployment of digital twins

Florence Hudson (Columbia University)

16/09/2024, 11:10

Data Acquisition and Management

37. 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)

16/09/2024, 11:30

Panel Discussion

42. Data Vault Holdings

Nathaniel Bradley (Data Vault)

16/09/2024, 13:00

Sponsor Presentations

43. Intempo Health

Josh Ellis (Intempo Health)

16/09/2024, 13:10

Sponsor Presentations

9. Frontier AI for Science, Security and Technology (FASST)

Frank Alexander (Argonne National Laboratory)

16/09/2024, 13:30

Machine Learning and Data Quality - Part I

11. On Training Foundation Models on Frontier

Sajal Dash (Oak Ridge National Laboratory)

16/09/2024, 13:50

Machine Learning and Data Quality - Part I

12. Data aggregation and integration for energy infrastructure modeling

Kelly Rose (National Energy Technology Laboratory)

16/09/2024, 14:10

Machine Learning and Data Quality - Part I

13. Physics-Informed Machine Learning and Generative AI for Surrogate Modeling in Science and Industry

Mike O'Keeffe (NVIDIA)

16/09/2024, 14:30

Machine Learning and Data Quality - Part I

10. (Remote) AuroraGPT: Rationale, Data Challenges and Development of an AI Research Assistant

Franck Capello (Argonne National Laboratory)

16/09/2024, 14:50

Machine Learning and Data Quality - Part I

14. Responsible AI in the US Banking Industry

John Ratzan (Accenture)

16/09/2024, 15:40

Machine Learning and Data Quality - Part II

15. Synthetic Teammates: Leveraging Digital Twins to Optimize Human-AI Performance in Critical Missions

Svitlana Volkova (Aptima)

16/09/2024, 16:00

Machine Learning and Data Quality - Part II

16. Creating trustworthy open data for scientific discovery

Grace Peng (NIH)

16/09/2024, 16:20

Machine Learning and Data Quality - Part II

17. Operationalizing Biomedical Digital Twins compliant with the National Academies Report: issues regarding machine learning and data quality

Gary An (University of Vermont)

16/09/2024, 16:40

Machine Learning and Data Quality - Part II

38. Biomedical Digital Twin Industry Panel

Anastasia Christianson (EPAM), Josh Ellis (Intempo Health), Michael Hadjisavas (p-Chips), Nathaniel Bradley (Data Vault)

16/09/2024, 17:00

Panel Discussion

18. Fusion Energy Digital Twins - from Experiment to Power Plant

Michael Churchill (Princeton Plasma Physics Laboratory)

17/09/2024, 08:40

Validation, Verification and Uncertainty Quantification (VVUQ)

20. Recent developments in uncertainty quantification and model validation for complex systems

Roger Ghanem (University of Southern California)

17/09/2024, 09:00

Validation, Verification and Uncertainty Quantification (VVUQ)

19. Uncertainty in Digital Twins from Imperfect System Information

Nathan Urban (Brookhaven National Laboratory)

17/09/2024, 09:20

Validation, Verification and Uncertainty Quantification (VVUQ)

21. Navigating uncertainty to build trust in digital twins

Anirban Chaudhuri (University of Texas Austin)

17/09/2024, 09:40

Validation, Verification and Uncertainty Quantification (VVUQ)

22. Towards Efficient Neural Representation of Visual Computing Data

Qi Sun (New York University)

17/09/2024, 10:30

Data Visualization and Virtual Reality

23. Towards the creation of digital twins for scientific simulations using visualization surrogates

Han-Wei Shen (The Ohio State University)

17/09/2024, 10:50

Data Visualization and Virtual Reality

24. Digital Twins for Science

Barton Fiske (NVIDIA)

17/09/2024, 11:10

Data Visualization and Virtual Reality

39. Digital Twin Impact and Market

Barton Fiske (NVIDIA), Grace Peng (NIH), Michael Churchill (PPPL), Mihir Parikh (Nishith Desai Associates)

17/09/2024, 11:30

Panel Discussion

34. Voice-Enabled Beamlines at National Synchrotron Light Source II (NSLS-II)

Shray Mathur (Brookhaven National Laboratory)

17/09/2024, 13:00

Lightning Talks

35. Menopause: It's about Femhealth, not just Femtech

Michael Liebman (IPQ Analytics LLC)

17/09/2024, 13:07

Lightning Talks

36. Biomimetic Digital Twins and Multiomics: Applications to Rheumatoid Arthritis to Understand the Molecular Mechanisms of Diseas

William G. Kearns (Genzeva)

17/09/2024, 13:14

Lightning Talks

41. Building and Deploying Digital Twins for Business Value

Adam Rasheed (Amazon Web Services)

17/09/2024, 13:21

Lightning Talks

25. (Remote) Visualization Techniques for the Tokamak Digital Twin

Eliot Feibush (Princeton University)

17/09/2024, 13:30

Data Safety, Security, Privacy and Beyond

27. Safety, Security and Privacy in the Age of Generative AI

Carlos Soto (Brookhaven National Laboratory)

17/09/2024, 13:50

Data Safety, Security, Privacy and Beyond

8. Data Privacy, Provenance and Context: Challenges and Perspectives

Nabeel Qureshi (OpenHealth)

17/09/2024, 14:10

Data Safety, Security, Privacy and Beyond

28. (Remote) Multimodal Generative AI for Precision Health

Hoifung Poon (Microsoft)

17/09/2024, 15:00

The Future of Digital Twins

29. Enabling Digital Twins Through Common Infrastructure

Jeren M. Browning (Idaho National Laboratory)

17/09/2024, 15:20

The Future of Digital Twins

30. Digital Twins in Large Scale Scientific Instruments

Lucy Lin (Brookhaven National Laboratory)

17/09/2024, 15:40

The Future of Digital Twins

31. Digital Twin: Open Source Development and Deployment

Anil Srivastava (Open Health Systems Laboratory)

17/09/2024, 16:00

The Future of Digital Twins

32. The Evolving Digital Twin - Driving the Next Wave of Digital Transformation

Dan Isaacs (Digital Twin Consortium)

17/09/2024, 16:20

The Future of Digital Twins

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)

17/09/2024, 16:40

Panel Discussion

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