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Philip Etter

Philip Etter

Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
B.A., Princeton University, Mathematics (2017)
Certificate, Princeton University, Computer Science (2017)

I'm a second year PhD student in the Institute for Computational and Mathematical Engineering. I received my undergraduate degree from Princeton, where I studied mathematics, computer science, and physics - and wrote my thesis on numerical methods for solitonic boson star evolution and ground state searching, graduating summa cum laude. While I have a very broad background in mathematics and related fields, I most enjoy working on numerical PDE problems arising from the physical sciences. My primary focus is currently model order reduction, reduced basis methods, and machine/deep learning techniques for numerical PDE and computational physics. I'm particularly interested in finding ways of using data to accelerate computation and develop fast approximation techniques.

My other assorted interests include quantum physics, general relativity, and computer graphics.

I prefer tabs to spaces and vim to emacs.