Jake Price

Jake Price

Assistant Professor of Mathematics

University of Puget Sound


I am an Assistant Professor in the Department of Mathematics and Computer Science at the University of Puget Sound. In my research, I develop software to solve scientific problems on a computer. I am particularly interested in reduced order modeling of multiscale problems.

As an alumnus of Kalamazoo College, I am extremely passionate about the liberal arts and the critical role of mathematics within them.

Download my CV.

  • Multiscale Modeling and Simulation
  • Scientific Computing
  • Bayesian Election Models
  • Mathematics Education
  • PhD in Applied Mathematics, 2018

    University of Washington

  • MS in Applied Mathematics, 2013

    University of Washington

  • BA in Mathematics and Physics, 2012

    Kalamazoo College



11+ Years Experience


8+ Years Experience


12+ Years Experience


University of Puget Sound

Current Courses

  • Introductory Applied Statistics, MATH 160
  • Intermediate Applied Statistics, MATH 260
  • Ordinary Differential Equations, MATH 301

Past Courses

  • Introductory Applied Statistics, MATH 160 (Fall 2018-Spring 2022)
  • Intermediate Applied Statistics, MATH 260 (Fall 2019, Spring 2020)
  • Ordinary Differential Equations, MATH 301 (Fall 2019, Fall 2020, Spring 2022)
  • Optimization, MATH/CSCI 335 (Spring 2019)
  • Advanced Applied Statistics, MATH 360 (Spring 2020)

University of Washington

  • Beginning Scientific Computing, AMATH 301 (Spring 2015, Fall 2016, Fall 2017)
  • Mathematical Methods for Computational Finance, CFRM 460 (Winter 2015, Winter 2016, Winter 2017)
  • Probability and Statistics for Computational Finance, CFRM 410 (Winter 2018)

Math Science Upward Bound

  • Math 5: Statistics, Developer and Instructor (Summer 2016, Summer 2017)
  • Machine Learning, Developer and Instructor (Summer 2017)

University of Washington High School Summer School

  • Introduction to Math Modeling, Developer and Instructor (Summer 2014)


University of Puget Sound
Assistant Professor
University of Puget Sound
Jul 2018 – Present Tacoma, Washington
Taught courses in statistics, differential equations, and optimization. Advised student theses and summer research projects.
University of Washington
Graduate Student Instructor of Record
University of Washington
Sep 2012 – Jun 2018 Seattle, Washington
Developed and taught courses in financial statistics and scientific computing. Founded pedagogy-focused reading group. Mentored undergraduate research students in the Washington Experimental Mathematics Lab.
Los Alamos National Laboratory
Computational Physics Research Assistant
Jun 2015 – Sep 2016 Los Alamos, New Mexico
Participated in the Computational Physics Student Summer Workshop in 2015 and returned as a research intern the following summer. Worked with Michael Murillo and Jeff Haack to develop a proof-of-principle computational framework for multiscale modeling of plasma.
Math Science Upward Bound
Summer Instructor
Math Science Upward Bound
Jun 2017 – Jun 2018 Seattle, Washington
Designed and taught courses on statistics and machine learning. Introduced underrepresented high school students to machine learning and programming principles. Collaborated in a team-teaching environment.

Awards and Fellowships

University of Puget Sound
Burlington Northern Curriculum Development Award
Given as part of a committee to develop a Data Science major and minor at the University of Puget Sound.
Mathematical Association of America
Project NExT
Selected to participate in professional development program for new Ph.D.s in the mathematical sciences. Addresses teaching, research, service, and professional activity. Silver ‘19 cohort.
University of Washington
Tung Family Endowment Award
For exemplary work by a student in the Department of Applied Mathematics.
University of Washington
SIAM Chapter Award
In recognition of outstanding efforts and accomplishments on behalf of the SIAM Chapter at the University of Washington.
University of Washington
Boeing Teaching Award
Awarded for outstanding teaching by a student in Applied Mathematics.
University of Washington
Top Scholar Fellowship Award
A fellowship offered by the University of Washington to promising first year graduate students.
Park City Mathematics Institute
Park City Mathematics Institute Undergraduate Summer School
A fellowship offered by the University of Washington to promising first year graduate students.


Bayesian Hierarchical Models of Presidential Election Polling
Using statistics to predict American elections
Quantifying Features of Musical Compositions
Using computational methods to identify characteristic techniques of musical composers
Simulating Plasma with the Heterogeneous Multiscal Method
Represent a single plasma simulation through both a kinetic theory and molecular dynamics lens
Reduced Order Modeling with the Mori-Zwanzig Formalism
Multiscale modeling using the complete memory approximation
Efficient Conditional Path Sampling of Rare Events
Sampling rare transition paths between metastable states


(2021). Optimal renormalization of multiscale systems. In PNAS.


(2020). Heterogeneous multiscale method for high energy-density matter - Connecting kinetic theory and molecular dynamics. In JCPX.