Data Science in the News

Cindy Gonzales forges a new career in data science

Through LLNL’s Data Science Immersion Program, Gonzales is now among the Lab’s newest data scientists. For two and a half years, she juggled a demanding workload—coordinating Computing’s Scholar Program, interning with data scientists, learning from mentors, supporting LLNL’s Data Science Institute, and attending college part time—while also having her first child. Read more at LLNL Computing...

Collaboration drives data science workshop

Lawrence Livermore National Laboratory’s (LLNL’s) Data Science Institute (DSI) hosted its second annual workshop on July 23–24, 2019. Co-sponsored by the University of California (UC) system, the event drew more than 200 participants to Garré Winery in Livermore. A common theme ran throughout both days: Collaboration is always welcome. Indeed, feedback from last year’s workshop inspired a...

Livermore Lab Foundation awards scholarship to Cal State East Bay computer science student

Alan Noun, a computer science student at Cal State University East Bay and the recipient of the Livermore Lab Foundation's first full-year scholarship, has started a summer internship at LLNL. In partnership with Cal State University East Bay (CSUEB), the Livermore Lab Foundation (LLF) awarded Noun a one-year stipend to allow him to devote more time to academics by reducing work he needs to...

Protecting image classification in artificial intelligence

To address vulnerability concerns in image classification, a new subfield of machine learning has emerged called adversarial machine learning, which focuses on the security of machine learning algorithms. Thomas Hogan, a doctoral student of mathematics at UC Davis, spent his summer investigating this new area of research during the National Science Foundation’s Mathematical Sciences Graduate...

NFL comes to Lab to hear latest on TBI research

Officials from the National Football League visited LLNL to hear how the Department of Energy’s national laboratories are using high-performance computing and artificial intelligence to advance scientific understanding of traumatic brain injury (TBI). Read more at LLNL News.

Researchers explore machine learning to automate sorting of microcapsules in real-time

Micro-Encapsulated CO2 Sorbents (MECS) — tiny, reusable capsules full of a sodium carbonate solution that can absorb carbon dioxide from the air — are a promising technology for capturing carbon from the atmosphere. To create the caviar-like objects, scientists run three fluids through a series of microfluidic components to create drops that turn into capsules when exposed to ultraviolet...

Multi-institutional meeting centers on making the 'impossible' possible in cancer research

Computer scientists, biomedical engineers, cancer biologists and bioinformaticians from eight Department of Energy national laboratories, health-related government agencies and universities converged at LLNL March 6-7 to discuss ongoing efforts to advance cancer research through computation, identify existing challenges and brainstorm future multidisciplinary projects. Read more at LLNL News...

LLNL explores machine learning to prevent defects in metal 3D-printed parts in real time

LLNL researchers have developed machine learning algorithms capable of processing the data obtained during metal 3D printing in real time and detecting within milliseconds whether a 3D part will be of satisfactory quality. Read more at LLNL News.

Data science workshop embraces multidisciplinary community

Since launching in early 2018, Lawrence Livermore National Laboratory’s (LLNL’s) Data Science Institute (DSI) has hit the ground running with a series of seminars, collaborative sessions, reading groups and other activities for the LLNL data science community. On August 7–8, 2018, the DSI hosted its inaugural offsite workshop, which was co-sponsored by the University of California (UC). More...

New Data Science Institute supports explosive growth of data science

The Data Science Institute (DSI) is a new multidisciplinary entity supporting growth in this field both across Lawrence Livermore National Laboratory (LLNL) programs and among the external data science community. The DSI is designed to facilitate mission-driven data science through a cohesive vision, increased collaboration, and targeted outreach and recruiting. The DSI is led by Michael...