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
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, 2021Talita Perciano is being recognized for providing exceptional mentorship to students participating in various internships provided by Berkeley Lab; read more here.
August 2, 2021Dani 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 cervical-vaginal cytology offers innovative opportunities for the use of machine learning for biomedical purposes; read more here.
February 12, 2021Dani 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, 2021We 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, 2021After 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, 2020Aditi Krishnapriyan joins the Data Analytics and Visualization Group.
October 30, 2019Neurodata Without Borders Project Wins 2019 R&D100 Award 
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NWB Project Hosts User/Developer Days. (Read more at the CS web site)