Justin Dong

I am a Ph.D. student in the Division of Applied Mathematics at Brown University. My research interests include scientific computing and numerical analysis of high-order methods for PDEs, especially as they pertain to problems in computational fluid dynamics.

Presently, I am researching the use of deep neural networks to approximate PDEs with my advisor, Professor Mark Ainsworth. I am a recipient of the NSF Graduate Research Fellowship (if you’re in the field of applied math and looking to apply, feel free to reach out to me for my application materials as an example).

I will be defending my dissertation in April 2023!