Will Pazner is an applied mathematician and computational scientist with 11 years of experience building scalable numerical solvers and scientific software, now serving as an Assistant Professor in Portland State University's mathematics department. He brings deep expertise from Lawrence Livermore National Laboratory—where he worked as a Computational Mathematician and Sidney Fernbach Fellow—on high-performance finite element methods and preconditioning for PDEs. His open-source contributions to the prominent mfem C++ library include low-order refined solvers, custom degree-of-freedom permutations, and Hypre-integrated matrix assembly, reflecting a focus on efficient preconditioning and solver robustness. Trained at Brown (Ph.D., M.Sc.) with exchange work at UC Berkeley and an undergraduate degree from University of Toronto, he combines rigorous theory with production-quality code for large-scale simulation. Colleagues describe him as someone who bridges deep algorithmic insight with practical implementation choices that accelerate real-world computational science.
11 years of coding experience
Doctoral Exchange Scholar, Mathematics, Doctoral Exchange Scholar, Mathematics at University of California, Berkeley
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at Brown University
Bachelor of Science (B.Sc.), Mathematics, Bachelor of Science (B.Sc.), Mathematics at University of Toronto
Lightweight, general, scalable C++ library for finite element methods
Role in this project:
Back-end Developer
Contributions:958 reviews, 1406 commits, 292 PRs in 4 years 1 month
Contributions summary:Will contributed to the codebase by implementing functionality for handling and solving partial differential equations using finite element methods. The code changes involve the addition of low-order refined solvers and the associated matrix assembly logic, leveraging libraries and tools like MFEM and Hypre. The contributions further include the implementation of a custom permutation for element degrees of freedom, facilitating efficient preconditioning and error analysis within the solvers, showing a strong focus on the core computational aspects of the project.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Will Pazner - Assistant Professor at Portland State University