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

Katie Lewis

Katie Lewis

Associate Division Leader

Katie Lewis started working at LLNL in 1998, just days after earning a B.S. in Mathematics from the University of San Francisco. She spent 17 years on a parallel mesh generation project that she ultimately led, and has held numerous leadership positions in the Lab’s Computing, Global Security, National Ignition Facility, and Weapons and Complex Integration directorates. Today, Lewis serves as Associate Division Leader for the Computational Physics Division where her duties span recruiting, hiring, professional development, workforce planning, staff assessment, and diversity and inclusion efforts. Lewis also leads the Vidya machine learning project in LLNL’s Weapons Simulation and Computing Program, where she applies artificial intelligence techniques to high-performance computing simulations. “AI/ML is proving to be a gamechanger in approaching challenging problems related to scientific computing. Employing these techniques to solve problems more accurately and more quickly will lead to greater scientific discovery,” she states.

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.

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Inaugural industry forum inspires ML community

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