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Applied Mathematics and Computational Science
AMCS
Applied Mathematics and Computational Science
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stochastic processes

David De Jesus

Postdoctoral Research Fellow, Applied Mathematics and Computational Science

data analysis NumPy PDEs stochastic processes probability theory Python TensorFlow

David's research focuses on the regularity of solutions to degenerate elliptic and parabolic partial differential equations as well as free boundary problems.

Andrea Vanessa Rocha

Research Specialist, Statistics

Statistical Modeling computational statistics machine learning stochastic processes

David Bolin

Professor, Statistics

mathematical statistics random fields stochastic partial differential equations computational statistics stochastic processes

David Bolin is an expert on stochastic processes, random fields and spatial statistics. His main research focus is on stochastic partial differential equations and their applications in statistics.

Applied Mathematics and Computational Science (AMCS)

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