Daniel Kaslovsky
Ph.D., Applied Mathematics
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This academic site is mostly out-of-date.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). |
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| 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. |
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| Information for the reading course I developed is available here: "Recent Topics in Big Data". |