Caleb Zheng
Teaching Assistant at University of Washington
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolCaleb Zheng is a PhD candidate and research-focused teaching assistant at the University of Washington with eight years of experience at the intersection of deep learning theory and applied machine learning. He pairs academic rigor from his PhD in Electrical and Electronics Engineering and an MEng in Mechanical Engineering with hands-on industry stints, including a data science role at Elemental Cognition and a research internship at Oracle. At UW he balances teaching and research responsibilities, mentoring students while pursuing theoretical questions that aim to translate into real-world systems. Caleb’s background suggests a comfort moving between simulation, model development, and production-oriented ML workflows, and he has a growing track record of short, impactful industry collaborations. Based in Seattle, he brings a curious, application-minded approach to foundational problems in deep learning.
8 years of coding experience
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at University of Washington
Github Skills (10)
recurrent-neural-networks10
deep-learning6
data-science5
ai5
representations3
meta3
meta-learning2
incremental-learning1
pytorch1
transfer-learning1
Programming languages (1)
Github contributions (5)
shlizee/R-FORCE
May 2019 - Mar 2020
Contributions:57 commits, 29 pushes in 10 months
FATE4869/NeuroAI
Aug 2020 - Mar 2025
Contributions:6 pushes, 4 branches in 4 years 7 months
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