Rui Zhang
Associate Professor
Bethlehem, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolRui Zhang is an Assistant Professor in Computer Science and Engineering with over a decade of research and industry experience bridging academia and applied ML systems. He completed advanced doctoral study at Yale after training at the University of Michigan and brings research internships at Google, Grammarly, and IBM into his teaching and lab work. Since 2020 he has led projects at Penn State focused on translating cutting-edge research into practical tools and publications. Rui’s background in both computer and electrical engineering gives him a systems-oriented perspective on machine learning and software reliability. He is comfortable navigating both theoretical questions and production constraints, having worked inside major tech research groups and academia. Colleagues value his ability to turn complex ideas into concrete experiments, courses, and collaborative research programs.
11 years of coding experience
6 years of employment as a software developer
PhD Student Computer Science and Engineering, PhD Student Computer Science and Engineering at University of MichiganPhD Computer Science, PhD Computer Science at Yale UniversityBachelor's degree Electrical and Computer Engineering, Bachelor's degree Electrical and Computer Engineering at Shanghai Jiao Tong University
Github Skills (24)
representation-learning10
metric-learning10
machine-learning10
natural-language-processing10
contrastive-learning10
ranking9
react9
science9
computer-science8
summarization7
medicine6
benchmark5
text-generation4
dynet4
python3
Programming languages (5)
Github contributions (5)
suki-workshop/suki-workshop.github.io
Feb 2022 - Jul 2022
Contributions:61 commits, 4 PRs, 52 pushes in 5 months
ryanzhumich/Contrastive-Learning-NLP-Papers
Mar 2022 - Sep 2022
Paper List for Contrastive Learning for Natural Language Processing
Contributions:59 commits, 4 PRs, 28 pushes in 6 months
contrastive-learningnatural-language-processingmachine-learningmetric-learningrepresentation-learning
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