AI-native quant hedge fund lab (SFC Type 9): multi-mechanism signals, point-in-time evidence, execution-aware validation, and an independent risk veto on live capital.

AI researcher · Quant trader · Systems builder · Author
Wayland Zhang
I research adaptive intelligence.
My work explores dynamic computation, continual learning, and personal memory, with applications in agent systems and quantitative trading.
Systems I Build
Alongside research, I build agent runtimes and quantitative trading systems.
Start Here
All essaysQuantitative trading
The Geometry of Alpha
Why the durable quant edge is a factory that keeps producing and validating signals, not a single strategy recipe.
Agent systems
The AI Agent Harness
What production agent runtimes converge on when context, tools, permissions, verification, and the loop become the product.
Foundations
The Four Realms of Neural Networks
From PDE solvers to manifold geometry and measurement: a framework for thinking about learned representations and personal intelligence.
Books
Background
My writing and teaching have reached more than 100,000 practitioners and led to three technical books and two open-source platforms. I also run Dnalyaw, an AI-native quant hedge fund lab in Hong Kong (SFC Type 9).
Studied Computer Science at the University of Toronto ('03–'07), where I attended Professor Geoffrey Hinton's class. Previously founded a social advertising platform later acquired by AdChina (Alibaba Group).
Timeline
GitHub Activity
Contact: waylandzhang[at]gmail.com