Nathan Kutz
Physics-Informed AI at Autodesk Research, London UK
Nathan Kutz is Director of Physics-Informed AI at Autodesk Research in London UK where he is leading a team that integrates model reduction techniques with machine learning and AI. He is on-leave from the University of Washington where he is the Boeing Professor of Applied Mathematics and Electrical and Computer Engineering and former Director of the AI Institute in Dynamic Systems. He received the BS degree in physics and mathematics from the University of Washington in 1990 and the Phd in applied mathematics from Northwestern University in 1994. He was a postdoc in the applied and computational mathematics program at Princeton University before taking his faculty position. He has a wide range of interests, including neuroscience to fluid dynamics where he integrates machine learning with dynamical systems and control.