Ziyi Guo
Graduate Research Assistant
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolZiyi Guo is a PhD candidate in Computational/Systems Neuroscience at Johns Hopkins University with 10 years of experience applying computer science and mathematics to neural data and behavior. She builds custom Python pipelines to process and visualize multi-terabyte Neuropixels recordings, implements reinforcement learning models to explain animal decision-making, and has automated video analysis workflows that improved CRO efficiency by 50%. Comfortable across MATLAB, Python, and neural network toolchains, she pairs hands-on experimental skills—animal training, electrophysiology, and custom hardware—with large-scale data engineering. A pragmatic mentor and collaborator, she has guided undergraduates and rotation students through analysis and experiments. Now seeking industry roles, she aims to translate her ability to uncover structure in complex systems into real-world decision-making applications.
10 years of coding experience
3 years of employment as a software developer
Fuzhou No.1 Middle SchoolJohns Hopkins UniversityKorea UniversityBachelor of Science - BS, Computer Science, Neuroscience, Psychology, 4.00, Bachelor of Science - BS, Computer Science, Neuroscience, Psychology, 4.00 at Brandeis University
Chinese, English, German
Github Skills (4)
machine-learning6
python6
data-science5
vue2
Programming languages (2)
Github contributions (5)
Ziyi-Guo/Ziyi-Guo.github.io
Feb 2016 - Jan 2023
Contributions:115 pushes, 1 branch in 7 years
Ziyi-Guo/ml_coursera
Aug 2016 - Aug 2017
Course Projects for Machine Learning on Coursera
Contributions:11 commits, 10 pushes, 1 branch in 1 year
pythoncourse-projectsmachine-learningdata-science
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