The Scientific Computing Group (SCG) works concurrently with the users of HPC systems to help them obtain optimal results from the OLCF’s computational resources. The SCG is comprised of research scientists, visualization specialists, and work-flow experts who are trained in chemistry, physics, astrophysics, mathematics, numerical analysis, or computer science. Each research team using an OLCF system is assigned an SCG liaison who is familiar with the field of research. SCG liaisons actively participate in the research, help design and optimize code for the users’ applications, streamline the work flow, and solve any computer issues that arise. Visualization specialists capture the resulting data in images and help the users analyze it.

Meet the Scientific Computing Team

Ashleigh Barnes

Postdoctoral Research Associate

Mark Berrill

Computational Scientist

Reuben Budiardja

Computational Scientist

Dmytro Bykov

Computational Scientist

Eduardo D’Azevedo

Research Staff

Markus Eisenbach

Computational Scientist

James Harris

Postdoctoral Research Associate

Judith Hill

Acting Group Leader, Scientific Computing Group

Gustav Jansen

Computational Scientist - Nuclear Physics

Wayne Joubert

Wayne Joubert

Computational Scientist

Ying Wai Li

R&D Computational Scientist

Dmitry Liakh

Computational Scientist

Bronson Messer

Computational Scientist

Matthew Norman

Computational Climate Scientist

Anikesh Pal

Distinguished Postdoctoral Associate in Climate Science

Ada Sedova

Postdoctoral Research Associate

Arnold Tharrington

Computational Scientist

Peyton Ticknor

Group Administrative Assistant

Andreas Tillack

Distinguished Postdoctoral Research Associate

Group R&D Activities

In preparation for next-generation supercomputer Summit, the Oak Ridge Leadership Computing Facility (OLCF) selected 13 partnership projects into…

The Accelerated Data Analytics and Computing Institute has been established to explore potential future collaboration among UT-Battelle, LLC…

The NWChemEx project will redesign the architecture of NWChem to work with the pre-exascale and exascale computers to…

Understanding the ORNL and DOE HPC application landscape is vitally important for the integration of heterogeneous computational architectures…

This project will provide an important model for future exascale computing, increasing the coherence between the technology base…

The IDEAS Project is intent on improving scientific productivity by qualitatively changing scientific software developer productivity, enabling a…