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Debbie Bard is a physicist and data scientist with more than 15 years experience in scientific computing, both as a physicist and HPC expert. Her career spans research in particle physics, cosmology and computing, with a common theme of using supercomputing for scalable data analytics. She currently leads the Data Science Engagement Group at the National Energy Research Scientific Computing center (NERSC), supporting HPC for users of the DOE’s experimental and observational facilities. Debbie also leads the Superfacility project, a cross-discipline project of over 30 researchers and engineers that is coordinating research and development for experimental science at LBNL. Her research interests include using HPC to scale up machine learning algorithms to tackle new, larger scientific problems, and leveraging AI to gain new insight from cosmological data.
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