Qu Tang
Research Scientist at Northeastern University
Shanghai, United States
Summary
👤
Senior🎓
Top SchoolQu Tang is a research scientist with 11 years of experience blending mobile development, ubiquitous computing, machine learning, and computer vision, currently at Zepp Health in Shanghai. He combines rigorous academic training—a PhD in Electrical Engineering and an MS from Northeastern—with hands-on Android and data-mining expertise to turn sensors and signals into actionable product features. Known for clear communication and collaborative mindset, he moves fluidly between prototyping research ideas and delivering production-ready mobile solutions. His work emphasizes practical ubiquity: embedding intelligence into everyday devices rather than treating AI as a standalone feature. Colleagues describe him as organized, creative, and positively persistent—comfortable leading teams or rolling up his sleeves on code. He brings both deep technical rigor and a product-focused instinct that helps bridge research and market impact.
11 years of coding experience
Bachelor, Electrical Engineering, 3.8, Bachelor, Electrical Engineering, 3.8 at University of Electronic Science and TechnologyMaster of Science (MS), Electrical and computer engineering, 3.8, Master of Science (MS), Electrical and computer engineering, 3.8 at Northeastern University
English, Chinese
Github Skills (126)
accelerometer10
sensor10
r-package10
scripting10
installer10
interaction10
cran10
r9
robotics9
imu9
python-api9
magnetometer9
webapp9
powershell9
falcon9
Programming languages (12)
Github contributions (5)
qutang/qutang.github.com
Jan 2015 - Jun 2019
Contributions:378 pushes, 4 branches, 1 tag in 4 years 5 months
qutang/riars
May 2019 - Nov 2019
Contributions:1 release, 68 PRs, 111 pushes in 5 months
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