Yilun Jin
Applied Scientist at Amazon
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolYilun Jin is an applied scientist with eight years of experience combining academic rigor and industry impact, currently working at Amazon while completing a PhD in Computer Science at HKUST. He holds dual bachelor's degrees in Computer Science and Economics from Peking University and has applied ML to security, recommender systems, and data mining through research internships at UCSD, SenseTime, and WeBank. His work bridges theory and production: publishing and prototyping research ideas as a graduate researcher while shipping ML-driven solutions in a large-scale engineering environment. Based in Palo Alto, he brings cross-cultural research experience and a pragmatic focus on real-world impact, often tackling security-conscious ML problems that require both statistical insight and systems awareness.
8 years of coding experience
University of California, San DiegoBachelor's degree, Computer science, Bachelor's degree, Computer science at Peking UniversityHong Kong University of Science and Technology (HKUST)
English
Github Skills (27)
markdown9
google-colaboratory9
jekyll9
universal-model8
gitpod7
prediction7
github-pages6
machine-learning5
python5
temporal5
few-shot-learning4
time-series-forecasting3
forecasting3
transfer-learning3
spatial3
Programming languages (4)
Github contributions (5)
KL4805/CrossTReS
Feb 2022 - Dec 2022
Contributions:24 commits, 22 pushes, 1 branch in 10 months
KL4805/Awesome-Federated-Learning-on-Graph-and-GNN-papers
Jul 2021 - Jun 2022
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Contributions:28 pushes in 11 months
gnnsgnnknowledgeneural-graphneural-networks
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