Julian Andrej
Computational Mathematician
Livermore, California, United States
Summary
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Top SchoolJulian Andrej is a computational mathematician with 11 years of experience applying advanced numerical methods to large-scale scientific problems at Lawrence Livermore National Laboratory. He holds a PhD in Electrical and Electronics Engineering from the University of Kiel and has progressed from graduate research through a postdoc to a staff scientist role, blending research rigor with production-grade software development. An active back-end developer on the widely used MFEM finite element library, he has contributed memory-safe constructors, bug fixes for linear solvers and mesh readers, and new nonlinear convection integrators that extend the library’s capabilities. Julian combines deep expertise in finite element methods with practical skills in debugging and performance-minded C++ engineering, making him effective at turning complex numerical ideas into robust, maintainable code.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at The University of Kiel
English, German
Stackoverflow
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0reached
0answers
0questions
Github Skills (9)
c-language10
el10
f10
cprogramming-language10
numerical-methods10
linear-algebra9
numerical-integration9
mpi9
hpc7
Programming languages (13)
Github contributions (5)
mfem/mfem
May 2019 - Jan 2023
Lightweight, general, scalable C++ library for finite element methods
Role in this project:
Back-end Developer & Numerical Methods Specialist
Back-end Developer & Numerical Methods SpecialistContributions:318 reviews, 471 commits, 71 PRs in 3 years 8 months
Contributions summary:Julian's contributions center around improving the MFEM library's numerical capabilities, specifically in the context of finite element methods. They implemented a deep copy constructor for the HypreParMatrix class, which is critical for proper memory management and data handling. Further, the user addressed bugs in the SuperLU and ReadCubit modules, indicating active maintenance and debugging efforts. The addition of a new VectorConvectionNLFIntegrator and other related features, such as a filter method, expands the capabilities of the library.
c-plus-plusfinitefemamrc-library
jandrej/firedrake
Aug 2020 - Feb 2025
Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)
Contributions:10 pushes, 3 branches in 4 years 7 months
dynamical-systemssimulationaempartial-differential-equationsdifferential
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