Zhicheng Guo
Research Assistant at Duke University
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolZhicheng Guo is a research-focused machine learning engineer with eight years of experience bridging clinical physiological modeling and efficient ML systems. Based at Duke University, he contributes to the Interpretable Machine Learning Lab while pursuing a PhD in Computer Engineering, blending rigorous academic research with practical clinical applications like cardiac monitoring. His industry experience includes developing agentic LLM frameworks and hardware-aware neural architecture and mixed-precision co-optimization at Texas Instruments, enabling low-cost, on-site inference with specialized small reasoning models. Past quantitative internships applied auto-gating and deep learning to HIV/AIDS flow cytometry data, showing a knack for translating noisy biomedical signals into actionable models. He combines domain knowledge across healthcare data and constrained-edge ML, and is comfortable optimizing both model interpretability and hardware trade-offs. Colleagues would note his uncommon pairing of clinical modeling interests with hands-on systems-level ML research.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Duke UniversityBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Rensselaer Polytechnic Institute
Github Skills (55)
pytorch9
python9
machine-learning9
tensorflow9
deep-learning9
nlp9
speech-recognition8
jekyll-theme8
natural-language-processing8
gpu8
jekyll8
neural-network8
data-science7
responsive7
conda7
Programming languages (6)
Github contributions (5)
chengstark/Segade
May 2021 - Nov 2021
Contributions:28 commits, 29 pushes, 1 comment in 6 months
chengstark/MISC
Apr 2018 - Nov 2019
Contributions:7 pushes, 1 branch in 1 year 7 months
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