James M. Murphy

Johns Hopkins University
Department of Mathematics

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I am an assistant research scientist and senior lecturer at in the department of mathematics at Johns Hopkins University. From August 2015 until July 2016, I was a visiting assistant professor at Duke University with offices in the department of Mathematics and the Information Initiative at Duke (iiD). At both Hopkins and Duke, I am a member of the Maggioni research group. I earned my PhD from the University of Maryland in 2015, where I was a member of the Norbert Wiener Center for Harmonic Analysis and Applications. My thesis advisors were John J. Benedetto and Wojciech Czaja. Before that, I earned my undergraduate degree in mathematics from the University of Chicago.

My research is in machine learning and harmonic analysis. I work on problems in unsupervised learning, mathematical image processing, graph theory, and frame theory. While much of my work is theoretical, I also develop algorithms and software packages, and apply these methods to real data in remote sensing, image processing, and medicine.

I am also an organizer for the data seminar at JHU.