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I am an assistant professor of mathematics at Tufts University with an adjunct appointment in electrical and computer engineering. My research is in applied harmonic analysis, machine learning, and mathematical data science. I work on problems in unsupervised and semisupervised learning, high dimensional probability theory, image and signal processing, graph theory, and approximation theory. In addition to mathematics, I develop algorithms and tools for real data science problems in remote sensing, medicine, biology, and chemistry.
I run the High-dimensional learning and data analysis (HILDA) research group at Tufts. 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 network science) are available. Interested Tufts Ph.D. students should contact Professor Murphy.
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; the Camille & Henry Dreyfus Foundation; and the Robert E. Wise, MD, Research and Education Institute.