Nick Papior
HPC Specialist at DTU Compute
Kongens Lyngby, Capital Region of Denmark
Summary
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Rockstar🎓
Top SchoolNick Papior is an HPC specialist with 15 years of experience building and optimizing high-performance scientific software, currently based at DTU Compute in Denmark. His background blends deep numerical methods and distributed computing—contributions to flagship projects like SciPy, NumPy, LAPACK and Open MPI show a focus on linear algebra accuracy, build-system robustness, and MPI communicator locality improvements. He has a strong research pedigree from DTU and ICN2, where he extended DFT/NEGF codes (TranSIESTA, TBtrans) for multi-electrode transport and taught advanced workshops on large-scale tight-binding and DFT workflows. Equally comfortable troubleshooting numerical regressions as he is architecting scalable parallel algorithms, he brings an uncommon mix of production-grade open-source maintenance and academic rigor.
15 years of coding experience
3 years of employment as a software developer
High School Exam, Mathematics, High School Exam, Mathematics at Roskilde KatedralskoleMaster of Science (M.Sc.), Nanotechnology, Atomic Scale Physics, Master of Science (M.Sc.), Nanotechnology, Atomic Scale Physics at Danmarks Tekniske Universitet / DTUBachelor of Applied Science (B.A.Sc.), Physics, Bachelor of Applied Science (B.A.Sc.), Physics at Danmarks Tekniske Universitet
English, Danish
Stackoverflow
762reputation
193kreached
15answers
3questions
Github Skills (22)
python10
testing10
fortran10
configuration-management10
mpi10
build-system10
hpc10
c1110
blas10
numpy10
c1710
lapack10
linear-algebra10
numerical-computing10
scipy9
Programming languages (21)
Github contributions (5)
Reference-LAPACK/lapack
Sep 2016 - Mar 2021
LAPACK development repository
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 reviews, 18 commits, 14 PRs in 4 years 6 months
Contributions summary:Nick primarily contributed to bug fixes and maintenance tasks within the LAPACK development repository. Their work involved removing unused external definitions and variables, optimizing code, and correcting documentation errors. The user demonstrated a deep understanding of the codebase by making targeted changes to improve the accuracy and efficiency of existing routines. They also addressed test failures by correcting erroneous tests.
eigenvalueslapacklapackelinear-algebrasingular-values
numpy/numpy
Feb 2015 - Sep 2020
The fundamental package for scientific computing with Python.
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 reviews, 27 commits, 11 PRs in 5 years 7 months
Contributions summary:Nick primarily worked on improving the build process for NumPy, a scientific computing package. Their contributions included extending the distutils module to read extra flags from `site.cfg`, allowing for more flexible configuration of compilation parameters. They also added tests for these new features, ensuring correct reading of extra flags and overall stability, while also making several fixes to address issues related to Python and Travis builds. This work enhanced the build system and increased the customization capabilities for users.
lapackpythonmpindarrayconvolution
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