Agent systems
Memory, tools, delegation, and observable workflows for reliable action in the world.
AI researcher · Quant trader · Systems builder · Author
Wayland Zhang
I research adaptive intelligence: how AI can compute dynamically, learn continuously, preserve personal memory, and be applied in contemporary market trading.
Outside research, I do a large amount of systems engineering in two domains with extremely high cost of failure.
Quantitative trading
Live multi-mechanism signals under an independent risk veto — research, execution, and cost model in one pipeline.
The methods may connect; the claims must be proven separately.
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).
Systems I Build
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.
Multi-agent platform with deterministic replay, budget enforcement, and enterprise observability. Rust, Go, and Python.
Local-first agent runtime on Shannon: tools, memory, permissions, and complex task delegation through observable workflows.
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
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
2026.07~Building Dnalyaw, an AI-native quant hedge fund lab, while researching AI continual learning and training memory models.
2025–2026Researching dynamic deep neural networks, neuro-symbolic machine learning, and open-source production-grade agent engineering projects.
2023–2024Became deeply interested in large language models and general AI.
2019–2022Took a break from startups while actively investing in several challenging projects.
2015–2018Founded a cloud-native platform designed to simplify cloud infrastructure management.
2008–2014Founded a social advertising platform later acquired by AdChina, a subsidiary of Alibaba Group.
2003–2007Studied Computer Science at the University of Toronto and attended Geoffrey Hinton's class.
GitHub Activity
Contact: waylandzhang[at]gmail.com