EDWARD BARNARD, MORGAN WALL
This symposium brings together experts from national laboratories, user facilities, research institutions, and industry to share insights and strategies for building, managing, and scaling data infrastructure in scientific research. It aims to foster collaboration on best practices for data storage, access, interoperability, and governance across diverse institutions. By learning from each other’s successes and challenges, attendees will gain valuable perspectives on what works, what doesn’t, and how to drive continuous improvement. Discussions will explore cutting-edge technologies, FAIR data principles, and cross-organizational workflows to enhance innovation and reproducibility in scientific discovery.
Symposium Sponsor:
Friday, August 15
Symposium Location: B70A-3377
Symposium Schedule:
2:15 – 2:45 pm
Fostering a Data Ecosystem in the age of AI
Natasha Noy, Google Research
2:45 – 3:15 pm
The Future of AI-Accelerated Science
Kevin Yager, Brookhaven National Laboratory
3:15 – 3:45 pm
Scalable Informatics Infrastructure for High-Throughput Phage Therapy Development
Taylor Penke, Locus Biosciences
3:45 – 4:15 pm
Break
4:15 – 4:45 pm
Data Infrastructure at the Advanced Light Source
Dylan McReynolds, Berkeley Lab
4:45 – 5:00 pm
Nanoscale Membrane Water Electrolyzers for Operando Interfacial Characterization
Andrew Pendergast, Berkeley Lab
5:00 – 5:15 pm
Automated, HPC-in-the-loop 4D scanning transmission electron microscopy for high-throughput data acquisition and processing
Alexander Pattison, Berkeley Lab
5:15 – 5:45 pm
Transforming DevOps for Scientific Innovation: Materials Project’s Cloud-Native Journey to 600K Users
Patrick Huck, Berkeley Lab