Guangwei Yu
AVP, Staff Scientist at TD
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolGuangwei Yu is an AVP and Staff Scientist leading computer vision research at Layer 6 and TD with a decade of experience applying ML to vision and medical imaging. He has a strong track record of competitive modeling, including top finishes in YouTube-8M, Google Landmark Retrieval, and the ACM RecSys Challenge, and regularly publishes at NeurIPS and CVPR. Comfortable bridging research and product, he has advanced from research scientist roles to senior technical leadership while shipping applied ML in industry. His background combines an MSc in Applied Computing from the University of Toronto with early work in numerical modeling and aerospace engineering, which informs a rigorous, physics-aware approach to modeling. Known for tackling hard machine-learning challenges, he balances state-of-the-art research with pragmatic solutions for production systems. Based in Toronto, he focuses on medically relevant vision problems and cross-disciplinary applications that benefit from both theory and engineering.
9 years of coding experience
8 years of employment as a software developer
Master of Science in Applied Computing (Msc AC) Computer Science, Master of Science in Applied Computing (Msc AC) Computer Science at University of Toronto
English, Chinese, Japanese
Github Skills (42)
cold-start10
recommender10
dataflow9
lists9
portable9
xgboost9
java9
gradient9
machine-learning9
distributed-systems9
boosting9
scalable9
maven9
python8
dask8
Programming languages (4)
Github contributions (5)
layer6ai-labs/ASL
Mar 2021 - Mar 2021
Contributions:5 commits in 1 day
layer6ai-labs/DropoutNet
Oct 2017 - Dec 2022
Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
Contributions:55 commits, 2 PRs, 25 pushes in 5 years 3 months
recommendercold-startneuripscoldrecommender-systems
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