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.


January 18, 2022

After nearly 22 years first as the Group Lead for the Visualization Group, then the Data Analytics and Visualization Group, and now the Machine Learning and Analytics Group, Wes Bethel steps down and welcomes Michael Mahoney, the new incoming Group Lead for the Machine Learning and Analytics Group.

November 15, 2021

Wes Bethel and Gunther Weber are part of the Organizing Committee for the SC21 Workshop "In Situ Infrastructures for Extreme-scale Analysis and Visualization (ISAV'21)", now in its 6th year. More information.

November 14, 2021

Wes Bethel and Burlen Loring are part of an SC21 Tutorial on the subject of HPC In Situ Processing. More information.

August 30, 2021

Dani Ushizima and her collaborators at ALS receives the Halbach Award for the development of a machine-learning-based application to stabilize the transverse beam size and enhance the photon-beam performance at ALS; read more here.

August 18, 2021

Talita Perciano is being recognized for providing exceptional mentorship to students participating in various internships provided by Berkeley Lab; read more here.

August 2, 2021

Dani Ushizima and the Center for Recognition and Inspection of Cells (CRIC) have taken a major step toward applying machine learning techniques to women's health: their newly published database of images of cervix cytology offers innovative opportunities for the use of machine learning for biomedical purposes; read more here.

February 12, 2021

Dani Ushizima named one of the 25 Latina in Science for her role in developing algorithms and software for automated cell analysis; read more here.

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.

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