Sean Wilkinson is a Research Scientist in Large-Scale Data Science and Learning in the Data Lifecycle and Scalable Workflows Group at the Oak Ridge Leadership Computing Facility.

He earned a B.A. at Rice University in 2008 with a triple major in Computational and Applied Mathematics, Statistics, and Mathematics. He earned his Ph.D. in Biomedical Engineering from the University of Alabama at Birmingham (UAB) in 2015 while working at UAB Hospital in the Informatics Division of the Pathology Department. His work on web computing applications for bioinformatics most notably produced QMachine, a distributed computing platform that can use web browsers as compute nodes without installing anything.

Prior to joining ORNL in 2019, he was a postdoctoral fellow in the Physics Department at the University of Texas at Arlington, where he became an ATLAS Collaborator and a member of the BigPanDA project.

His research interests include distributed workflows, reproducibility, and HPC middleware.


University of Alabama at Birmingham
Biomedical Engineering
Doctor of Philosophy (Ph.D.)
Rice University
Three majors: Computational and Applied Mathematics; Statistics; and Mathematics
Bachelor of Arts (B.A.)

R&D Activities Contributions

Big PanDA Workflow Management on Titan for High Energy and Nuclear Physics and for Future Extreme Scale Scientific Applications - This project will provide an important model for future exascale computing, increasing the coherence between the technology base used for high-performance computing and that used…