Biography
I am a S.E.W. assistant professor in the Department of Mathematics at University of California at San Diego. I received my Ph.D. in Mathematics from Courant Institute, New York University in 2016, and my B.Sc. in Mathematics from St Lawrence University in 2010.
My research interests broadly fall within mathematical signal processing and machine learning. More specifically, I have studied quantization theory and analog-to-digital conversion methods with particular emphasis on the settings of frame theory, compressed sensing, and phase retrieval. I have utilized techniques from random matrix theory, applied harmonic analysis, and optimization to attack problems from such settings.
I am especially fond of dimensionality reduction and data compression.
Interests
- Signal Processing (quantization, sparse recovery)
- Machine Learning (dimensionality reduction, matrix sketching, randomized algorithms)
- Random Matrix Theory
Education
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PhD in Mathematics, 2016
Courant Institute, New York University
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BSc in Mathematics, 2010
St Lawrence University