James M. Murphy

Tufts University
Department of Mathematics
JM.Murphy@tufts.edu



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I am an assistant professor of mathematics at Tufts University. My research is in theoretical machine learning and applied harmonic analysis. I work on problems in unsupervised and semisupervised learning, high dimensional probability theory, image and signal processing, graph theory, and frame theory. In addition to mathematics, I develop algorithms and tools for real data science problems in remote sensing, medicine, and network science.

I have research opportunities for students interested in data science and machine learning! Projects in mathematics (unsupervised machine learning, statistical learning theory, spectral graph theory, computational harmonic analysis), and applications (image processing, medical signal processing, and remote sensing) are available. Interested undergraduate, masters, and Ph.D. students should contact Professor Murphy. See also this announcement.

I am a co-organizer of the applied mathematics seminar at Tufts. If you have something exciting to speak about, send me a message.

My research is supported by the National Science Foundation under grants NSF-DMS 1912737, 1924513.