Jaesung Huh
AI Scientist at RØDE
United Kingdom
Summary
👤
Senior🎓
Top SchoolJaesung Huh is an AI scientist with nine years of experience bridging industry and top-tier research, currently building audio and multimodal intelligence at RØDE after completing a DPhil at Oxford's VGG under Prof. Andrew Zisserman. His work spans video understanding, audio-visual learning, and speech processing, with applied research stints at Meta Reality Labs (active speaker detection, ICASSP 2025) and prior production-focused speaker verification and diarization at Naver Clova. Trained in electrical engineering and CS at Seoul National University, he combines rigorous academic methods with hands-on engineering to deliver deployable ML systems. A less obvious strength is his cross-cultural operational experience—from KATUSA service supporting US–Korea joint training to global research collaborations—enabling smooth transitions between research, product, and international teams.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Electrical Engineering and Computer Science, 4.08 / 4.30, Bachelor's degree, Electrical Engineering and Computer Science, 4.08 / 4.30 at 서울대학교 (Seoul National University)Doctor of Philosophy - PhD, Engineering Science, Doctor of Philosophy - PhD, Engineering Science at University of Oxford서울과학고등학교 (Seoul Science High School)
English, Korean
Github Skills (19)
gender-classification10
classifier9
diarization8
voice-recognition8
speaker-diarization8
action-recognition7
audio6
pytorch6
speech-to-text3
speech-recognition3
science3
machine-learning3
datasets2
multimodal2
augmented-reality2
Programming languages (3)
Github contributions (5)
JaesungHuh/SimpleDiarization
Feb 2023 - Jun 2025
Simple diarization model
Contributions:1 review, 3 PRs, 7 pushes in 2 years 4 months
diarizationspeaker-diarization
joonson/voxconverse
Jul 2021 - Jul 2022
Spot the conversation: speaker diarisation in the wild
Contributions:10 commits, 16 pushes, 1 branch in 1 year
speaker-diarization
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