Edward Stanton assists the Mechanical Technologies Practice in patent prosecution. He has extensive knowledge in the areas of machine learning, medical device design, industrial automation, and robotics.

Edward’s technical experience spans artificial intelligence for fault recognition, structural and thermal testing, robot design, robotic path planning and optimization, and finite element analysis of medical device steering locks.

Prior to joining Wolf Greenfield, Edward served as a research assistant with the CCDC Army Research Laboratory at the University of Massachusetts, Amherst, where he developed methodologies and performed testing to gather force, displacement, and strain data to form stress-strain curves, and conducted advanced research of cold spray additive manufacturing for refractory metals.

  • Placed 2nd in Senior Design Competition with Pick and Place Robot – University of Massachusetts, Amherst (2020-2021)

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Edward Stanton assists the Mechanical Technologies Practice in patent prosecution. He has extensive knowledge in the areas of machine learning, medical device design, industrial automation, and robotics.

Edward’s technical experience spans artificial intelligence for fault recognition, structural and thermal testing, robot design, robotic path planning and optimization, and finite element analysis of medical device steering locks.

Prior to joining Wolf Greenfield, Edward served as a research assistant with the CCDC Army Research Laboratory at the University of Massachusetts, Amherst, where he developed methodologies and performed testing to gather force, displacement, and strain data to form stress-strain curves, and conducted advanced research of cold spray additive manufacturing for refractory metals.

  • Placed 2nd in Senior Design Competition with Pick and Place Robot – University of Massachusetts, Amherst (2020-2021)