Brendan Keith

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Brendan Keith

Ph.D. Candidate:
Computational Science, Engineering, and Mathematics

Dissertation topic:
DPG Methods For Arterial Mechanics

Advisor:
Leszek Demkowicz

Prior Degrees:
M.A. (2015) – Computational Science, Engineering, & Mathematics; UT Austin
M.Sc. (2013) – Applied Mathematics, McGill University
B.Math (2011) – Pure Mathematics, University of Waterloo
B.Math (2011) – Applied Mathematics and option in Physics, University of Waterloo

Research interests:
Brendan's principal research interests lie in the accurate and efficient numerical approximation of solutions to partial differential equations and dynamical systems.

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