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Matthew Greenberg is a Senior Machine Learning Engineer at GeneDx, focused on diagnosing diseases in infants and newborns through whole genome and exome testing. Responsibilities include improving the genetic report writing process in collaboration with Genetic Counselors, achieving significant reductions in variant review while maintaining high accuracy. Previously, Matthew led a team at Prescient Edge on federated platforms for the Department of Defense and Intelligence Community, and developed a Continuous Learning framework at GumGum for Computer Vision models. Matthew gained foundational experience at IBM, where patented research improved data cleansing and classifier predictions, along with work in silicon photonics. Matthew holds a B.Sc. (Hons.) in Physics from the University of St Andrews.