20252030
TSINGHUA UNIVERSITY
Ph.D. Student in Computer Science and Technology
Beijing, China · Expected 2025–2030CURRENT STATUS
Exploring opportunitiesCurrently considering an early departure from the doctoral program for the right opportunity.Yue Zhao — AI Research to Open Systems
Former AI researcher now working across Web3, quantitative systems, and open infrastructure.
SCROLL TO EXPLORE ↓00POSITION
I work where research discipline meets systems that move value, coordinate people, and operate in the open.
My background is in artificial intelligence. Today I am applying the same habits — explicit assumptions, measurable evidence, and iterative models — to Web3 and quantitative systems.
I am less interested in labels than in durable questions: how markets behave, how protocols encode incentives, and how intelligent tools can help people navigate both.
01EDUCATION
ACADEMIC TRAJECTORY
AI foundation.
Computer science frontier.
20212025
BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
Bachelor's Degree in Artificial Intelligence
Beijing, China · 2021–2025FOUNDATION
Built a formal foundation in artificial intelligence, computer science, and research-oriented problem solving.
02CURRENT WORK
Three active lines of inquiry.
These are not isolated topics. They are different views of the same problem: building systems that remain understandable under complexity.
01Web3 systems
Open infrastructure should make complex coordination legible.
Web3 systems
Open infrastructure should make complex coordination legible.
QUESTION
How can permissionless systems become easier to reason about without hiding their underlying risks?
APPROACH
Study protocol mechanics, market structure, and user incentives as one connected system rather than separate product layers.
IN PRACTICE
Mapping primitives, testing assumptions, and building tools that turn network activity into useful decisions.
02Quantitative research
A useful model survives contact with noisy markets.
Quantitative research
A useful model survives contact with noisy markets.
QUESTION
Which signals remain meaningful after transaction costs, changing regimes, and imperfect data are made explicit?
APPROACH
Move from hypothesis to measurement, stress testing, and reproducible evaluation before optimizing for performance.
IN PRACTICE
Research workflows for market data, strategy evaluation, risk controls, and decision-support systems.
03AI × open networks
Agents need verifiable environments, not only better intelligence.
AI × open networks
Agents need verifiable environments, not only better intelligence.
QUESTION
What changes when intelligent software can observe, transact, and coordinate across open networks?
APPROACH
Apply AI research discipline to agent behavior, tool use, evaluation, and the constraints of irreversible actions.
IN PRACTICE
Exploring agentic research, machine-readable markets, and reliable interfaces between models and protocols.
FOUNDATION
Artificial intelligence
Research trained me to separate an interesting story from a testable claim. That habit — formalize, measure, revise — remains the foundation of my work.
TRANSITION
Markets as systems
Web3 adds incentives, adversarial behavior, and composable infrastructure to the problem. The system is not only technical; it is economic and social at the same time.
DIRECTION
Open intelligent networks
I am interested in systems where intelligence, capital, and coordination can interact through transparent rules — with tools that make those interactions safer and clearer.
OPEN CHANNEL
RESEARCH / MARKETS / OPEN SYSTEMS