Tae-hyuk Ahn
Associate Professor
Missouri, United States
Summary
👤
Senior🎓
Top SchoolTae-hyuk Ahn is an associate professor and computer scientist with over 20 years in the field and a decade of academic and research experience applying ML and deep learning to large-scale biological, health, and medical data. He develops scalable software tools that leverage high-performance computing, including supercomputers and cloud platforms, to accelerate analysis of complex datasets. His career spans national labs and industry—Oak Ridge, Sandia, Pfizer, and Samsung SDS—bringing a rare blend of applied research and production-minded engineering. Holding a PhD from Virginia Tech and an MS from Northwestern, he combines rigorous academic training with hands-on system design and performance optimization. Colleagues note his ability to translate cutting-edge computational methods into usable pipelines for biomedical research, often bridging gaps between HPC infrastructure and domain scientists.
10 years of coding experience
17 years of employment as a software developer
Virginia TechMS, Electrical and Computer Engineering, MS, Electrical and Computer Engineering at Northwestern UniversityBS, Electrical Engineering, BS, Electrical Engineering at Yonsei University
Github Skills (2)
bioinformatics7
sequence1
Programming languages (2)
Github contributions (5)
BioHPC/CSCI2100F19
Aug 2019 - Aug 2020
Data Structures
Contributions:1 PR, 120 pushes, 1 branch in 11 months
data-structuresdatastructures
BioHPC/MegaD
Apr 2020 - Nov 2021
Deep learning for metagenomic sample classification
Contributions:5 commits, 1 push in 1 year 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.