Machine Learning & Analytics Group

The Machine Learning & Analytics Group engages in research, development, and deployment of scalable, high performance, and data-intensive machine learning, analytics, and visualization technologies in collaboration with other researchers from diverse scientific disciplines. These methods and their application help to uncover new knowledge in scientific data from simulations, experiments and observations.

We accomplish this mission by

  • Focusing RD&D efforts at all stages of the data understanding pipeline.
  • Collaborating closely with science stakeholders to maximize science impact.
  • Tightly integrating and coordinating interaction between research, development, and deployment activities.

News

January 19, 2021

We are now the Machine Learning & Analytics Group, a name change that reflects our increasing focus on AI/ML technologies and their application to DOE mission science problems.

January 4, 2021

After 20 years of service, Wes Bethel will be stepping down as Group Leader. We have begun an international search for a new Group Leader; more information is available at this job posting.

April 24, 2020

Aditi Krishnapriyan joins the Data Analytics and Visualization Group.

October 30, 2019

Neurodata Without Borders Project Wins 2019 R&D100 Award (see here

June 4, 2019

NWB Project Hosts User/Developer Days. (Read more at the CS web site)

Feburary 4, 2019

NWB:N Consortium Rolls Out v2.0 of Software Ecosystem for Neuroscientists. (Read more at the CRD web site)

November 20, 2018

Berkeley Lab Researchers to Build Standards for Neurophysiology Data. $2 Million NIH Grant to Fund Neurodata Without Borders Project. (Read more at the CS web site)

November 12, 2018

Loring co-authors ISAV 2018 Honorable Mention Paper.

November 2, 2018

DAV Staff headed to Dallas for SC18. (Read more at the CS web site)

... see all News