Kaize Ding
Assistant Professor at Northwestern University
Evanston, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolKaize Ding is an Assistant Professor at Northwestern University and a PhD-trained computer scientist with a decade of experience at the intersection of machine learning research and applied AI. His background includes internships at Google Brain, Microsoft Research (both Redmond and Asia), and Alexa AI, reflecting deep exposure to both foundational research and industry-scale systems. Trained at ASU’s DMML lab and earlier at Beijing University of Posts and Telecommunications, he bridges rigorous academic methods with practical product sensibilities. Kaize’s trajectory suggests a focus on bringing cutting-edge ML research into real-world applications, and his early industry roles in large AI teams imply strong collaborative and experimental engineering instincts.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Arizona State UniversityMaster's degree, Computer Science, Master's degree, Computer Science at Beijing University of Posts and Telecommunications
Github Skills (26)
gnn10
meta10
self-supervised-learning10
supervised-learning10
few-shot-learning10
meta-learning9
graph9
unsupervised-learning9
outlier-detection8
graph-neural-network8
deep-learning8
machine-learning8
pytorch8
anomaly-detection8
ranking7
Programming languages (2)
Github contributions (5)
kaize0409/GCN_AnomalyDetection
Sep 2018 - Sep 2021
Contributions:81 commits, 87 pushes, 1 branch in 3 years
kaize0409/awesome-few-shot-gnn
Sep 2021 - Jan 2023
Contributions:2 reviews, 28 commits, 3 PRs in 1 year 3 months
pytorchmeta-learninggraph-convolutional-networksgnnindex
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