Sang Park
Research Instructor at University of North Carolina at Chapel Hill
Chapel Hill, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolSang Park is a research instructor and machine learning engineer with 11 years of experience bridging quantitative finance and neuroscience-focused ML research. He moved from a decade of front-office derivatives trading and trading-system development across major banks and asset managers into academic R&D at UNC Chapel Hill, applying rigorous applied-math training to build ML methodologies and software for psychiatric neuroscience. Comfortable in both production trading environments and academic research labs, he combines domain expertise in FX/IR derivatives and ALM with hands-on implementation of analytics and tooling. Sang’s background in applied mathematics and law, plus an MBA stint, gives him a rare blend of technical, regulatory and strategic perspective useful for interdisciplinary projects. Notably, he has shifted from optimizing market-making and structured products to developing ML systems that probe complex neuro-scientific questions.
11 years of coding experience
2 years of employment as a software developer
BA, Mathematics, BA, Mathematics at Hanyang UniversityBachelor of Laws, LAW, Bachelor of Laws, LAW at Korea National Open UniversityMBA, Attended, MBA, Attended at KDI School of Public Policy and ManagementMSc, Applied Mathematics, MSc, Applied Mathematics at Korea Advanced Institute of Science and Technology
Github Skills (28)
image-filters10
image9
jpeg-xl9
atlas9
diffusion-mri9
unc9
python8
water8
image-processing8
data-science7
pytorch7
machine-learning7
tensorflow7
deep-learning6
jax5
Programming languages (3)
Github contributions (5)
NIRALUser/DTIAtlasBuilder
Dec 2019 - Oct 2021
This tool creates an Atlas image as an average of several DTI images that will be registered
Contributions:2 releases, 66 commits, 1 PR in 1 year 9 months
averagepythondtiatlas
scalphunters/xsvc
Jul 2015 - Jan 2020
Contributions:3 pushes, 1 branch in 4 years 6 months
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