Computational Research Scientist
Kathryn is an applied mathematician with the Data Analytics Center. Her current research interests include numerical linear algebra, low-rank matrix approximation and applications, and scientific computing. Prior to joining RC, she was a Research Scientist with the Social and Decision Analytics Division of UVA’s Biocomplexity Institute where she specialized in natural language processing and machine learning for social science applications. She has experience with HPC, general purpose GPU computing, and academic programming with University of Maryland faculty from the Math, Computer Science, and Chemistry/Biochemistry departments.
Education
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Ph.D. Applied Mathematics & Statistics, and Scientific Computation
University of Maryland, College Park (May 2024)
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Certificate in Data Science
Georgetown University, School of Continuing Studies (2018)
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M.S. Applied Mathematics & Statistics, and Scientific Computation
University of Maryland, College Park (2009)
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B.A. Mathematics
Hood College (2006)
