Summary
Ziyú Ye is a research-focused software engineer and PhD candidate in computer science at the University of Chicago with seven years of experience blending theoretical rigor and applied ML research. Currently a Student Researcher at Google DeepMind, Ziyú works on Gemini projects spanning self-play RL, latent reasoning, and scalable alignment, and contributed to creator-solver game work on alignment published as an arXiv preprint. As a serial founder and co-founder of AI startups, they have tackled automated theorem proving and research infrastructure under tight compute constraints, demonstrating both technical depth and entrepreneurial resilience. Their background in mathematics, economics, and computational policy—plus international research stints across Columbia, Tokyo, and Sydney—adds multidisciplinary perspective to hard ML problems. Colleagues describe Ziyú as intellectually adventurous (their tagline: "Uncertainty is more fun than answers") and unusually candid about long-term research trade-offs.
7 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Chicago
Intern Research Fellow, Intern Research Fellow at Tokyo University of Science
The University of Sydney
Bachelor of Mathematics and Economics, Bachelor of Mathematics and Economics at Xi'an Jiaotong University
Suzhou High School
Visiting Student, Visiting Student at Columbia University