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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.