Our mission 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 Data Science Institute acts as the central hub for all data science activity 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.

Data Scientist Spotlight

Amanda Minnich

Amanda Minnich

Machine Learning Research Scientist

Dr. Amanda Minnich’s passion for socially meaningful and scientifically interesting projects converges with her machine learning (ML) and data mining expertise in the Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium. Co-founded by LLNL, ATOM aims to accelerate drug development and discovery. “We want to show that ML has a place in the pharmaceutical world,” says Minnich. “I use historical drug data from pharmaceutical companies to build ML models that predict key pharmacokinetic and safety parameters.” Minnich also applies her skills to community outreach: She has served as a Girls Who Code mentor, organized a speed-mentoring session at LLNL’s 2019 Women in Data Science regional event, and recently spoke at the DSI-co-sponsored women’s lunch at the 2019 Conference on Knowledge Discovery and Data Mining. Minnich joined LLNL’s Global Security Computing Applications Division after meeting recruiters at the Grace Hopper Celebration (GHC), where she was a GHC14 scholar and now co-chairs the Artificial Intelligence Track. She holds a BA in integrative biology from UC Berkeley and an MS and PhD in computer science from the University of New Mexico.

Data Science Institute

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