Jacob Price is currently a PhD candidate in Applied Mathematics at the University of Washington. He is passionate about teaching mathematics and has strong interests in scientific computing, reduced order modeling, and multiscale modeling. Under the mentorship of Panos Stinis, he is studying novel reduced order models with memory for partial differential equations without scale separation.
He has also conducted research on multiscale plasma physics simulation at the Los Alamos National Laboratory, and collaborates with undergraduate students on conditional path sampling through the Washington Experimental Mathematics Laboratory.
Math Science Upward Bound, Study Section and Math 5 (Statistics), Summer 2017
AMATH 301: Beginning Scientific Computing, Spring 2015
CFRM 460 A and C: Mathematical Methods for Quantitative Finance, Winter 2015
University of Washington High School Summer School, Introduction to Math Modeling, Summer 2014