Yueh-hua Tu
Postdoctoral Research Fellow at 國立臺灣大學
Tainan Metropolitan Area Taiwan
Summary
👤
Senior🎓
Top SchoolYueh-hua Tu is a computational biology postdoctoral researcher and software engineer with 11 years of experience building ML/DL models and data science pipelines for genomics and transcriptomics. He designs high-performance, production-ready tools—authoring a geometric deep learning library in Julia and contributing atomic operations and sparse support to the widely used JuliaGPU/CUDA.jl project. His work spans federated analytics, secure multi-party computation, and optimized numerical algorithms that outperform C++ gold standards in tasks like linkage disequilibrium, showing a rare blend of theoretical decomposition and low-level performance engineering. A founder of Julia Taiwan and an educator in Julia and ML, he combines academic rigor (PhD in Bioinformatics with publications) with practical backend and API development experience in bioinformatics deployments.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Taiwan International Graduate Program in Bioinformatics, Academia Sinica, PhD dissertation published on Briefings in Bioinformatics, Doctor of Philosophy - PhD, Taiwan International Graduate Program in Bioinformatics, Academia Sinica, PhD dissertation published on Briefings in Bioinformatics at 國立台灣大學Master of Science in Bioinformatics (M.Sc.), 生物醫學資訊所, Graduated in the honor of top first in class, Master of Science in Bioinformatics (M.Sc.), 生物醫學資訊所, Graduated in the honor of top first in class at 國立陽明大學Bachelor of Science in Medical Laboratory Science (B.MLSc.), 醫學生物技術暨檢驗學系, Bachelor of Science in Medical Laboratory Science (B.MLSc.), 醫學生物技術暨檢驗學系 at 國立成功大學
Chinese, English, Japanese
Stackoverflow
1reputation
171reached
0answers
1question
Github Skills (11)
atomics10
cuda10
gpu10
atomic10
julia10
testing10
sparse-matrix9
file-upload6
jquery6
python6
django6
Programming languages (6)
Github contributions (5)
JuliaGPU/CUDA.jl
Apr 2021 - Oct 2021
CUDA programming in Julia.
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:2 reviews, 6 commits, 1 PR in 6 months
Contributions summary:Yueh-hua primarily contributed to enhancing CUDA.jl by adding functionality for atomic operations, specifically supporting multiplication and division. They implemented new tests to validate these atomic operations and made corrections to existing test conditions. The user also introduced additions to support sparse matrix addition within the CUDA.jl library by modifying the library's interfaces, adding new functions and modifying existing ones.
cudagpucuda-programmingjulia
JuliaLangTW/JuliaZHTW.jl
Aug 2018 - Jul 2019
Julia 台灣社群 中文文件
Contributions:15 commits, 7 PRs, 4 pushes in 10 months
co-simulationjulia-languagejulialangjulia
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