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Danielle Pace is a Senior Machine Learning Scientist II at the Broad Institute of MIT and Harvard, specializing in machine learning methods development using large clinical datasets as part of the Machine Learning for Health (ML4H) team. Prior experience includes a Research Fellow role at Massachusetts General Hospital, where new deep learning and anatomical modeling algorithms were developed for neuroimaging data. Danielle's academic background includes a Ph.D. in Computer Science from the Massachusetts Institute of Technology and a Master of Engineering Science in Biomedical Engineering from Western University. Additional experience includes a Research & Development Engineer position at Kitware Inc., a Visiting Ph.D. Candidate role at Philips, and various research and teaching roles across multiple institutions.