The Advanced Data and Workflow Group (ADWG) offers scientific, technical, operational, and thought leadership for building data-driven computing environments for OLCF user needs. The group designs and develops creative data-science workflows (compute, analytic, and visualization) to enable interactive data-driven discoveries that require scale and performance on leadership computing resources hosted by the OLCF and big data resources hosted by the Compute and Data Environment for Science (CADES). Our team of data scientists, software engineers, and scientific visualization experts guides users through the data-to-knowledge discovery process by understanding user needs, designing novel algorithms and workflows, and implementing and supporting convenient tools.

Meet the Advanced Data and Workflows Team

Valentine Anantharaj

Computational Scientist (Climate)

Katherine (Kat) Engstrom

Visualization Support Specialist

Benjamin Hernandez

Computer Scientist

Katie Knight

Data Engineer

Hao Lu

Research Scientist in Large-Scale Data Science and Learning

Ketan Maheshwari

Linux Systems Engineer

Michael (Mike) Matheson

Visualization Specialist

George Ostrouchov


Norbort Podhorszki

Team Lead: Scientific Data Management

David Pugmire

Team Lead: Scientific Data Analytics

Pam Russell

Group Administrative Assistant/ Project Support

Drew Schmidt

Software Engineer

Arjun Shankar

Group Leader, Advanced Data and Workflow

Gregory (Greg) Shutt

CADES Task Lead

Suhas Somnath

Computer Scientist

Dale Stansberry

Systems Programmer

Aristeidis Tsaris

Research Scientist in Large-Scale Data Science and Learning

Sean Wilkinson

Research Scientist in Large-Scale Data Science and Learning

Junqi Yin

Computational Scientist

Group R&D Activities

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

Sight is an exploratory visualization tool for large scale datasets supporting raytracing, remote and interactive scientific visualization, parallel…

Constellation is a digital object identifier (DOI) based science network for supercomputing data. Constellation makes it possible for…

CADES is an ORNL facility to support R&D staff’s scalable computing and data analytics needs—making a research computing…

[From the ALICE website:] ALICE is the acronym for A Large Ion Collider Experiment, one of the…

The "Programming with Big Data in R" project (pbdR) is a set of highly scalable R packages for…

The Grid Architecture project objectives are to provide a set of architectural depictions, tools, and skills to the…

The Advanced Data and Workflow group brings a holistic view to scalable services that span the data lifecycle…

DataFed is a federated, big-data storage, collaboration, and full-life-cycle management system for computational science and/or data analytics within…