Kin Lin
PhD Candidate
Sapporo, Japan
Summary
👤
Senior🎓
Top SchoolKin Wah Edward Lin is a PhD-trained research engineer with nine years of experience bridging academic audio research and industrial AI product development across Hong Kong and Japan. He specializes in singing voice separation, singer-assist apps, and voice conversion using deep learning, work that originated during a postdoctoral appointment at AIST and later informed roles at AWL and RevComm. Fluent in both research and production environments, he has taught undergraduates, delivered enterprise software (including OCR and document management solutions), and reviewed for top venues like Interspeech, ICASSP, and IEEE/ACM TASLP. Based in Sapporo, he combines strong academic credentials (SUTD PhD, HKUST MPhil/BE/BBA) with hands-on engineering, and maintains a rare blend of signal-processing research depth and product-focused engineering execution.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy, Information Systems Technology and Design, 4.56 /5, Doctor of Philosophy, Information Systems Technology and Design, 4.56 /5 at Singapore University of Technology and Design (SUTD)Hong Kong University of Science and Technology (HKUST)
Japanese, japanese n3, Chinese, English, Chinese
Github Skills (8)
machine-learning10
deep-learning10
python10
tensorflow9
neural-network9
ml8
data-science8
deep-neural-networks8
Programming languages (1)
Github contributions (5)
EdwardLin2014/CNN-with-IBM-for-Singing-Voice-Separation
Nov 2017 - Dec 2018
Contributions:15 commits, 38 pushes, 1 branch in 1 year 1 month
EdwardLin2014/SingingVoiceDetection_Python
Jun 2017 - Jul 2017
Contributions:50 commits, 49 pushes, 1 branch in 1 month
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