Photo by Tony RinaldoPhoto by Tony Rinaldo
J. Nathan Kutz
University of Washington
Mathematics and Applied Sciences
Quantification of Perception in Pattern Recognition and Sensory Systems: A Mathematical Framework Using Dimensionality Reduction

J. Nathan Kutz is the Robert Bolles and Yasuko Endo Professor and chair of applied mathematics at the University of Washington in Seattle. His research uses methods and ideas of applied mathematics to address a variety of problems in science and engineering, from atomic condensation, laser dynamics, and fluid dynamics to developing ideas for creating practical technologies such as gesture recognition software and apps.

During his time at Radcliffe, Kutz will develop a biologically inspired mathematical framework for quantifying the interplay and influence of our sensory and pattern-recognition systems. More generally, he aims to apply data-driven dimensionality reduction techniques to complex systems in order to produce a viable, low-dimensional set of dynamics capable of reproducing quantitatively the full dynamics of the sensory system under consideration. Such developments advance modern mathematical techniques in a variety of areas. Indeed, these distinct mathematical areas are seamlessly integrated into pattern-recognition activities.

Kutz received his BS degree in physics and mathematics from the University of Washington in 1990 and his PhD degree in applied mathematics from Northwestern University in 1994. He has been on the faculty at the University of Washington since 1998.

This information is accurate as of the fellowship year indicated for each fellow.
Photo by Tony Rinaldo