Daniel Ching
Senior Math Libraries Engineer
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Ching is a Senior Math Libraries Engineer at NVIDIA with 11 years of experience bridging computational imaging research and production-grade numerical software. He pivoted from materials-focused experimental work—using x‑ray CT to study wood composites—into algorithmic tomography and ptychography, and now builds Python APIs for high-performance math libraries. An active open-source contributor and conda-forge reviewer, he combines backend performance engineering (tomopy, conda-smithy) with careful documentation work (CuPy) and CI/packaging expertise across staged-recipes. Based in Chicago, he brings a rare blend of PhD-level computational imaging insight and practical DevOps skills that surface in build-system fixes, profiling improvements, and GPU-aware library integrations. Outside work he follows decentralized-web trends and sails, reflecting a pragmatic curiosity that informs both tooling and research choices.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Oregon State UniversityBS, BS at Carnegie Mellon UniversityHigh School Diploma, High School Diploma at Culver Academies
Spanish, Chinese, English
Stackoverflow
462reputation
69kreached
5answers
1question
Github Skills (46)
datetime10
conda-forge10
c-language10
lib10
python10
cmake10
datetimes10
numpy10
automation10
automation-testing10
performance-optimization10
ci-cd-pipeline10
cupy10
cuda10
automations10
Programming languages (21)
Github contributions (5)
tomopy/tomopy
Dec 2014 - Jan 2023
Tomographic Reconstruction in Python
Role in this project:
Backend Developer & Performance Engineer
Backend Developer & Performance EngineerContributions:23 releases, 119 reviews, 360 commits in 8 years 2 months
Contributions summary:Daniel's commits primarily focus on improving the code's efficiency and correcting errors related to the C++ backend within the tomography reconstruction library. The contributions involve refactoring code to remove unused variables, correcting string conversion errors, and optimizing the code. Further, the user has made modifications to the build system configuration and dependencies to address issues with compilation and external library inclusion.
pythontomographyreconstructiontoolbox
conda-forge/staged-recipes
Feb 2019 - Jan 2023
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Role in this project:DevOps Engineer
DevOps EngineerContributions:1512 reviews, 516 commits, 573 PRs in 3 years 11 months
Contributions summary:Daniel's primary focus was on modifying build and CI/CD configuration files. Contributions include updating build scripts (build.sh and bld.bat) for packages like `ms-gsl`, `fast_float`, and `hipace`, along with changes to the core CI/CD workflow in `.github/workflows/scripts/create_feedstocks.py`, `.scripts/run_win_build.bat`, and `.scripts/build_steps.sh`. They also addressed an issue in the `globus-compute-common` recipe by correcting the installation script. Additionally, the user adapted Windows build processes.
condaconda-forge
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