Michael Pokojovy
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Assistant Professor, Mathematical Sciences - Computational Science
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Dr. Pokojovy's research interests are manifold. They include, but are not limited to, nonparametric and robust techniques with application to big data analytics, statistical quality control, data mining, computational statistics, design and control of stochastic spatiotemporal systems, functional data analysis, etc. He has many years of successful experience with statistical and scientific computing and programming in R, Matlab, C/C++, etc. Dr. Pokojovy also has a strong background in various areas of applied mathematics.