Gideok Pak

Department Manager at International Vaccine Institute (IVI)

Seoul, South Korea
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Summary

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Rockstar
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Top School
Gideok Pak is a seasoned biostatistician and department manager based in Seoul with over a decade of experience bridging statistical research and pharmaceutical operations. He holds advanced degrees in statistics and public health (MS, PhD candidate) and has served in senior analytic and data-management roles at the International Vaccine Institute while leading a department at ILDONG Pharmaceutical. Technically fluent in SAS, R, SPSS and numerical methods, he has also contributed to GPU-accelerated zero-knowledge proof backend code—optimizing mathematical routines and memory management—demonstrating an unusual combination of deep statistical expertise and hands-on systems optimization. Known for translating rigorous statistical methods into operationalized workflows, he brings both research-grade rigor and practical product-focused delivery to clinical and computational projects.
code5 years of coding experience
bookDoctor of Philosophy - PhD, Public health-Statistics, Doctor of Philosophy - PhD, Public health-Statistics at Seoul National University
bookMaster of Science - MS, Statistics, Master of Science - MS, Statistics at Hankuk University of Foreign Studies
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Github Skills (10)

cuda10
c-language10
cprogramming-language10
zeroth10
gpu9
blockchain8
cryptography8
tachyons7
cpp7
cplus6

Programming languages (6)

C++RustStarlarkSCSSJupyter NotebookPython

Github contributions (5)

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kroma-network/tachyon

Jun 2024 - Oct 2024

Modular ZK(Zero Knowledge) backend accelerated by GPU
Role in this project:
userBackend Developer
Contributions:134 reviews, 6 PRs, 179 pushes in 4 months
Contributions summary:Gideok primarily focused on optimizing the codebase related to zero-knowledge proofs. Their contributions included refactoring mathematical operations, such as optimizing element swapping within evaluation domains to reduce unnecessary computations. Furthermore, the user improved the efficiency of the code by removing redundant statements and comments, as well as changing constexpr to CONSTEXPR_IF_NOT_OPENMP. Finally, the user implemented a function to get the GPU available memory size and added memory allocation.
blockchainc-plus-pluscpp17cryptocurrencycryptography
Contributions:7 PRs, 114 pushes, 8 branches in 4 years 1 month
cppmodern-cpp
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