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Jay Oswald

Associate Professor, School for Engineering of Matter, Transport and Energy

Dr. Oswald's research combines simulation and data-driven methods to improve materials processing, failure prediction, and automation in manufacturing through close industry collaboration.

Recent stories

Students are improving access to eye care, generating valuable products from waste, increasing solar efficiency and more at the FURI/MORE Virtual Symposium.