Our mission at the Data Science Institute (DSI) is to enable excellence in data science research and applications across the Laboratory's core missions.

Data science has become an essential discipline paving the path of LLNL's key program areas, and the Laboratory is home to some of the largest, most unique, and most interesting data and supercomputers in the world. The DSI acts as the central hub for all data science activity—in areas of artificial intelligence, big-data analytics, computer vision, machine learning, predictive modeling, statistical inference, uncertainty quantification, and more—at LLNL working to help lead, build, and strengthen the data science workforce, research, and outreach to advance the state-of-the-art of our nation's data science capabilities. Read more about the DSI.

Data Scientist Spotlight

Kerianne Pruett

Kerianne Pruett


With a passion for outreach and volunteering, Kerianne Pruett enjoys encouraging and inspiring students to pursue STEM careers. She has held roles such as mentor, teacher, and organizer for various K–12 events; led telescope viewings and science demonstrations; and provided resources and support to underrepresented college students, promoting diversity and retention in STEM programs. This summer, Pruett mentored undergraduate and graduate students in two Data Science Challenge sessions—and received awards from LLNL’s National Security Engineering Division and Physical and Life Sciences Directorate for doing so. “When I was informed that this year’s Challenge was astronomy themed and help was needed, I was all over it!” she says. Since joining LLNL in 2019, Pruett supports the Astronomy and Astrophysics Analytics Group and Space Science and Security Program, applying data science to topics such as dark matter, dark energy, and space situational awareness. She points out, “At the Lab, we’re using data science and machine learning across so many different fields and for such a diverse range of applications.” With a B.S. in Physics from UC Davis, Pruett currently pursues a Master’s program in Data Analytics at the Air Force Institute of Technology.

New Research in AI: Human Vaccines Project

simulation of a computationally designed antibody interacting with the receptor binding domain of the spike protein of the SARS-CoV-2 virus
Simulation of a computationally designed antibody interacting with the receptor binding domain of the spike protein of the SARS-CoV-2 virus. Graphic courtesy of Dan Faissol/LLNL.

In a new three-year agreement with the HVP, LLNL will leverage its extensive knowledge in vaccine research response—most recently from designing new antibodies and antiviral drugs for COVID-19—its emerging work on AI and computational modeling of immune response and sepsis, as well as its computational infrastructure and scientists, to help accelerate development of vaccines and other medical countermeasures that could be protective against pandemic threats. A universal coronavirus vaccine or therapeutic would be effective against an entire family of related viruses, including variants of concern such as Delta, and available “off-the-shelf” for deployment in areas of high risk to prevent severe illness and avoid future pandemics.

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Building better materials with data science (video)

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