Yao Wang
Senior Research Fellow at City University of Hong Kong
Beijing, China
Summary
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Senior🎓
Top SchoolYao Wang is a Senior Research Fellow and algorithm architect with nine years of experience building clinical AI and signal-processing systems that operate in real-world healthcare settings. He has led cross-disciplinary teams to turn noisy physiological signals (pulse wave, single-lead ECG) into robust features and clinical insights—deploying artifact detection, PAT/PTT-based blood pressure trend prediction, HRV and respiration analysis across embedded and cloud environments. His background spans industry and telecom R&D (MediaTek, Microsoft) where he coordinated modem projects and led firmware/protocol engineering, bringing rigorous systems thinking to medical-device algorithms. Currently based in Beijing and completing a PhD in Artificial Intelligence at Tsinghua, he combines academic rigor with product-focused experimentation and field data collection. A not-obvious asset: he routinely designs what to run on-device versus in-cloud to meet real-time safety and deployment constraints, bridging algorithm research and manufacturable system design.
9 years of coding experience
14 years of employment as a software developer
Master of Engineering Communication & Information System, Master of Engineering Communication & Information System at Beijing University of Posts and TelecommunicationsDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Tsinghua University
English, Chinese
Github Skills (9)
machine-learning10
deep-learning10
tensorflow10
python10
data-science9
ml9
neural-network9
deep-neural-networks8
tensorlayer1
Programming languages (2)
Github contributions (5)
wangyaobupt/NoisyLabels
Jul 2017 - Oct 2017
Contributions:18 commits, 11 pushes, 1 branch in 2 months
wangyaobupt/EcgPeriodicalAnalysis
Nov 2017 - Nov 2017
Contributions:22 commits, 11 pushes, 1 branch in 7 days
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