The institutions and researchers associated with SEA-CROGS have extensive active collaborations with academia and industry. The SEA-CROGS team, as well as each institution involved, is committed to strengthening the machine learning and data science community.

Internships

Current SEA-CROGS Interns

PNNL:

• Emily Williams, Massachusetts Institute of Technology (jointly funded with the DOE  Computational Science Graduate Fellowship)

Yale University:

• Donghyun Lee, Korea Advanced Institute of Science and Technology
   

Previous SEA-CROGS Interns

California Institute of Technology:

• Javier Ruiz-Lupon (DOE Summer Undergraduate Research Fellowship)

Sandia National Laboratories:

• Dwyer Deighan, SUNY University at Buffalo (jointly funded with the Predictive Science Academic Alliance Program)

PNNL:

• Damien Beecroft, University of Washington
• Sarah Helfert Murphy, University of North Carolina at Charlotte (jointly funded by the NSF MSGI program)

Murphy is an author on the paper "Stacked networks improve physics-informed training: applications to neural networks and deep operator networks" co-authored by fellow SEA-CROGS researchers Amanda Howard, Shady Ahmed, and Panos Stinis.