Wayland Zhang

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.

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.

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All essays

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

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