Joseph Kump

Graduate Research Assistant

Austin, Texas Metropolitan Area United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Joseph Kump is a graduate research assistant and PhD candidate at UT Austin’s Oden Institute specializing in applied mathematics, computational science, and machine learning with six years of experience building high-performance scientific software. He develops differentiable sea-ice models in Julia that leverage automatic differentiation for adjoint calculations and potential data assimilation, bridging numerical methods with modern ML tooling. Previously he parallelized MASW algorithms for CPUs and GPUs (MPI/CUDA), published in Computers & Geosciences, and devised a wavelet-domain cross-correlation technique that avoids time-domain reconstruction. Comfortable across HPC, Python, and Julia ecosystems, he has a track record of turning mathematical insight into scalable, open implementations. Colleagues describe him as methodical and inventive—adept at finding algorithmic shortcuts that reduce computation without sacrificing rigor.
code6 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computational Science, Engineering, and Mathematics, Doctor of Philosophy - PhD, Computational Science, Engineering, and Mathematics at The University of Texas at Austin
bookMaster's degree, Mathematics, Master's degree, Mathematics at Virginia Tech
bookGeneral Education Degree (High School Graduate), College/University Preparatory and Advanced High School/Secondary Diploma Program, General Education Degree (High School Graduate), College/University Preparatory and Advanced High School/Secondary Diploma Program at Maggie L. Walker Governor's School for Government and International Studies
github-logo-circle

Github Skills (40)

simulation10
machine-learning10
gradient10
automatic-differentiation10
climate-change10
gpu10
derivative10
fluid-dynamics10
ocean10
differentiable-programming10
enzyme10
clang10
julia10
llvm9
high-performance9

Programming languages (4)

JuliaLLVMJupyter NotebookMLIR

Github contributions (5)

github-logo-circle
jlk9/MPAS-Ocean.jl

Jun 2024 - Sep 2024

Performance portable and adjoint enabled port of MPAS Ocean in Julia
Contributions:2 reviews, 13 PRs, 96 pushes in 2 months
julia
hpslib/hpsmultidomain

Jul 2025 - May 2026

Contributions:1 release, 4 PRs, 30 pushes in 10 months
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