Daniel Kaslovsky

Ph.D., Applied Mathematics



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Daniel Kaslovsky

Profile

This academic site is mostly out-of-date. A current profile is available on LinkedIn.

I received my Ph.D. in applied mathematics from the University of Colorado at Boulder and was awarded a NSF Postdoctoral Fellowship for research at the National Institute of Standards and Technology (NIST).

My research has focused on developing new mathematical analyses and algorithms for finding structure in noisy, high-dimensional data. I am particularly interested in statistical, geometric, and machine learning approaches for analyzing large data sets, efficient sensing and computation using randomized algorithms, and modern signal/image processing.

Information for the reading course I developed is available here: "Recent Topics in Big Data".