Woosung Choi
Research Scientist at SonyAI
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolWoosung Choi is a research scientist based in Tokyo with 10 years of experience at the intersection of academic research and industrial R&D, currently developing AI-driven systems at SonyAI after roles at Sony and a postdoc at Queen Mary University of London. He holds a PhD in Computer Science from Korea University with near-perfect grades, and has taught as a university lecturer while publishing academic work (see Google Scholar). Woosung combines deep theoretical grounding with practical engineering to translate research prototypes into production-relevant solutions for a global tech company. Not obvious from his title: he has balanced simultaneous academic teaching and high-impact research early in his career, signaling strong communication skills and mentorship alongside technical depth.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.47/4.5, Doctor of Philosophy - PhD, Computer Science, 4.47/4.5 at Korea University
Github Skills (41)
pytorch10
hydra10
pytorch-lightning10
wandb10
source-separation10
spectrogram9
music-information-retrieval9
textual8
mdx8
spleeter7
audio7
music7
speech6
codec6
python6
Programming languages (7)
Github contributions (5)
ws-choi/Conditioned-Source-Separation-LaSAFT
Oct 2020 - Nov 2022
A PyTorch implementation of the paper: "LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation" (ICASSP 2021)
Contributions:1 release, 3 reviews, 104 commits in 2 years 1 month
pytorchsource-separationpytorch-lightningmusdb18
mdx-tutorial/mdx-tutorial.github.io
Oct 2021 - Nov 2021
Tutorial covering Open Source tools for Source Separation.
Contributions:2 reviews, 31 commits, 2 PRs in 1 month
source-separation
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