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Advances in nonlinear elliptic and parabolic pdes
NLPDES
Advances in nonlinear elliptic and parabolic pdes
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probability theory
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.
