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.
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