Zhi-yi Chin is a machine learning researcher and PhD candidate with a decade of experience focused on AI safety, reinforcement learning, and vision-based self-supervision. Currently a Research Fellow at the Oxford AI Governance Initiative and a research assistant at NYCU’s RL and Bandits Lab, he blends rigorous academic research with hands-on systems work on red-teaming tools for text-to-image models and novel data augmentations for contrastive vision learning. His work has contributed to high-profile venues (ICML, WACV) and practical projects like MLLM video summarization and point-cloud augmentations for industry partners. Known for moving between deep research and engineering, he also brings prior industry exposure from a selective Google engineering sprint and a strong academic record from NCTU and NCU.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at National Chiao Tung University
High School, High school, High School, High school at National Hsinchu Girls' High School
Bachelor's degree, Computer Science, GPA: 4.18/4.3, Bachelor's degree, Computer Science, GPA: 4.18/4.3 at National Chung Cheng University
Contributions:65 commits, 35 PRs, 51 pushes in 2 years 3 months
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