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

Brian Gallagher

Brian Gallagher

Computer Scientist

Mentoring has always been important to Brian Gallagher, who joined the Lab in 2005 after completing his M.S. in Computer Science at UMass Amherst. “I feel extremely grateful for the opportunities I’ve had in my life and the people who have helped me along the way,” he states. After serving as a DSI Data Science Challenge mentor in 2020, Gallagher directs this year’s program for UC Merced and UC Riverside students. “My main goal for the Challenge is to provide an environment where everyone can grow,” he says. “You can see and feel the changes in people from day to day. That’s my favorite part of the experience.” When he’s not working with students, Gallagher leads the Data Science and Analytics Group at LLNL’s Center for Applied Scientific Computing. He contributes to LLNL projects that leverage machine learning for nuclear threat-reduction applications, optimization of feedstock materials, and design of high-entropy alloys. “Because data science is so broadly applicable, I am constantly exposed to new application areas and new people from a variety of backgrounds,” Gallagher explains.


New Research in AI: COVID-19 Detection and Analysis

LLNL bioinformaticist and DSSI co-director Nisha Mulakken sat down with The Data Standard Podcast to discuss the Lawrence Livermore Microbial Detection Array (LLMDA) system, which has detection capability for all variants of SARS-CoV-2. The video episode runs 14:17.

screen shot of Nisha speaking on video chat

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Five people in a video chat grid during the panel session, with Tim's chat window highlighted, next to the Dev Day logo

Dev Day features DSI-sponsored career panel

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