Tong Zhao
Staff Research Scientist at Snap Inc.
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolTong Zhao is a Staff Research Scientist at Snap Research with a decade of experience building personalized and generative recommendation systems that bridge cutting-edge research and product-scale deployment. With a PhD in Computer Science from the University of Notre Dame and a strong mathematical foundation from Case Western Reserve, he has progressed at Snap from intern to staff scientist, leading post-training and user modeling efforts for personalization. His work emphasizes practical research-to-production transitions, informed by internships at A9 and recurring collaborations within Snap’s research teams. Based in Bellevue, WA, Tong combines deep academic rigor with hands-on applied science, frequently turning complex sequence and user-signal problems into scalable recommendation solutions.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Case Western Reserve UniversityDoctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at University of Notre Dame
Github Skills (37)
graph10
graphsage10
survey10
loss10
graph-convolutional-networks10
data-augmentation10
graph-representation-learning10
pattern-mining9
machine-learning9
deep-learning9
credit9
spam-detection9
mining9
outlier-detection8
anomaly-detection-algorithm8
Programming languages (4)
Github contributions (5)
zhao-tong/DeepFD-pyTorch
Jul 2019 - Oct 2020
A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)
Contributions:21 commits, 6 pushes in 1 year 3 months
pytorchstructure-learningdataminingdeep-learningfraud-detection
zhao-tong/zhao-tong.github.io
Mar 2018 - Feb 2025
Contributions:146 pushes, 1 branch in 7 years 1 month
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