Weilian Song
Applied Machine Learning Scientist at Integrated Projects
British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolWeilian Song is an applied machine learning scientist and PhD candidate at Simon Fraser University with a decade of research and engineering experience in computer vision and deep learning. Currently balancing a research role at SFU with an industry appointment at Integrated Projects, he bridges academic rigor and production-oriented ML solutions. His background includes research internships at Bosch USA and multi-year research roles at University of Kentucky, reflecting strong experience in both foundational research and applied systems. He holds a BS (4.0), MS, and is pursuing a PhD in Computing Science, combining top academic performance with practical impact. Known for translating complex vision models into deployable workflows, he brings a disciplined, research-driven approach to solving real-world perception problems.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of KentuckyDoctor of Philosophy - PhD, Computing Science, Doctor of Philosophy - PhD, Computing Science at Simon Fraser University
English, Chinese
Github Skills (7)
solar-car8
solar7
sequential2
python2
machine-learning1
raspberry-pi1
decision-making1
Programming languages (2)
Github contributions (5)
KentuckySolarCar/Telemetry-GUI
Sep 2015 - Jun 2017
This code will run on a desktop machine, and display the data the solar car sends from an rs 232 connection
Contributions:122 commits, 2 PRs, 108 pushes in 1 year 9 months
rs-232solarconnectiondesktopsolar-car
weiliansong/A-Scan2BIM
Sep 2023 - Aug 2025
Official implementation of the paper A-Scan2BIM: Assistive Scan to Building Information Modeling
Contributions:8 pushes, 3 comments, 1 issue in 1 year 11 months
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