Jinhyun So
Assistant Professor at DGIST (Daegu Gyeongbuk Institute of Science and Technology)
Daegu, South Korea
Summary
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Rockstar🎓
Top SchoolJinhyun So is an assistant professor at DGIST and a researcher specializing in distributed AI, federated and collaborative learning, privacy-preserving machine learning, and on-device learning, with six years of industry and academic experience. He earned his PhD in Electrical and Computer Engineering from USC under Prof. Salman Avestimehr after top-ranked degrees from KAIST, and has practical research experience as a Microsoft Research intern and as a staff engineer at Samsung Semiconductor US. His work bridges rigorous theory and production realities—developing privacy-aware, communication-efficient learning methods that are deployable on edge devices. Known for moving between academia and industry, he combines systems-level engineering from cellular and multimedia backgrounds with cutting-edge distributed learning research.
6 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of Southern CaliforniaHansung Science High School학사, Electrical Engineering, 4.05/4.3 (Major), 학사, Electrical Engineering, 4.05/4.3 (Major) at 한국과학기술원(KAIST)Master of Science - MS, electrical engineering, 4.12/4.3, Master of Science - MS, electrical engineering, 4.12/4.3 at Korea Advanced Institute of Science and Technology
Github Skills (22)
simulation10
ai-agent10
silo10
inference-engine10
cross-device10
marketplace10
federated-learning10
distributed-training9
large-scale9
security9
machine-learning9
blockchain9
mlops9
scale9
deep-learning9
Programming languages (1)
Github contributions (5)
jinhyun-so/CodedPrivateNN
Dec 2020 - Apr 2021
Contributions:15 commits, 14 pushes, 1 branch in 3 months
jinhyun-so/jinhyun-so.github.io
Jul 2021 - Sep 2024
I am a PhD student in computer science at NYU working with Professor Damon McCoy. I am interested in cybercrime, natural language processing, machine learning, and teaching.
Contributions:46 pushes in 3 years 2 months
natural-language-understandingsciencelanguage-processingcybercrimeteaching
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