Presentations

The Basics of PyTorch with NNs, CNNs, and PINNs

DIGIMAT Professional Development Seminar. University of Illinois at Urbana-Champaign. Winter 2022.

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Convolutional Neural Networks in Learning Fokker-Planck Equations

MA Thesis Defense. University of California, Santa Barbara. Spring 2021.

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Machine Learning in Solving the Poisson Equation Diffusion Constant

SIAM Graduate Seminar. University of California, Santa Barbara. Fall 2020.

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Convolutional Neural Networks in Learning Partial Differential Equations

Applied Math Summer Seminar. University of California, Santa Barbara. Summer 2020.

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Convolutional Neural Networks in Learning Partial Differential Equations

Graduate Simulation Seminar Series. University of California, Santa Barbara. Summer 2020.

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A Special Case of Global Regularity for the Navier-Stokes Equation (Terence Tao)

Applied Math Summer Seminar. University of California, Santa Barbara. Summer 2020.