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Craig Tull Retires After 38 Years at Berkeley Lab
After 38 years at Berkeley Lab, Craig Tull will retire this month from his role as head of CRD's Physics and X-Ray Science Computing Group. Read More »
After 18 Years, Betsy MacGowan Retires from Berkeley Lab
After 18 years at Berkeley Lab, CSA Safety Coordinator Betsy MacGowan retires this month. Read More »
CRD's Strohmaier Retiring After Nearly 20 Years at Berkeley Lab
CRD's Erich Strohmaier Retiring After Nearly 20 Years at Berkeley Lab Read More »
Reassessing the Global Dataset of Wave Climate Projections
Supercomputing resources at NERSC are helping researchers better understand how global and regional wave conditions may evolve under climate change. Read More »
Can CT Scans Be Used to Quickly and Accurately Diagnose COVID-19?
Berkeley Lab data scientist Daniela Ushizima is exploring whether image recognition algorithms and a data analysis pipeline can help accurately distinguish COVID-19 abnormalities in CT scans and chest X-rays from other overlapping respiratory illnesses. Read More »
CS Area’s 2020 Summer Student Program Goes Virtual
Like many organizations adjusting to a changing work environment during the COVID-19 pandemic, Berkeley Lab’s Computing Sciences Area is transforming its 2020 summer student program into an entirely virtual experience. Read More »
Computing Sciences Welcomes New Alvarez Fellow, Aditi Krishnapriyan
A long-distance runner for many years, Aditi Krishnapriyan – the latest postdoctoral researcher to be awarded the prestigious Alvarez Fellowship – brings a well-honed energy and intensity to her new position in the Computational Research Division. Read More »
NERSC One of Early Adopters of New GPU Processor
The next-gen Perlmutter supercomputer will enhance simulation, data processing, and machine learning applications for NERSC's diverse science user community. Read More »
NERSC’s Katie Antypas Steps Into New Role at Exascale Computing Project
NERSC's Katie Antypas will serve as ECP's new Director for the Hardware & Integration Focus Area Read More »
Machine Learning Could Provide Unexpected Scientific Insights into COVID-19
A new text-mining tool developed at Berkeley Lab and supported by NERSC supercomputing resources is using natural language processing techniques that could yield unexpected scientific insights into COVID-19. Read More »