Writing & explanation
Books on the systems behind AI, scientific computing, autonomous driving and enterprise analytics. Four publisher-issued English books, an independent DeepInfer guide, and a Chinese textbook contribution.
Independent publication · Leanpub · 2026
How an LLM Inference Engine Works
A guide to inference-engine behaviour through source walkthroughs and 28 CPU-based educational experiments: scheduling, state ownership, expert parallelism, speculative decoding and correctness.
First author · Wiley · 2026
Technology, Business, and Regulation
A view of autonomous driving across algorithms, computing platforms, data, connectivity, business and regulation. I wrote the main chapters; the foreword is by BMW expert Johann Prenninger.
Co-author · Springer · 2024
Integrating Advanced Analytics into Data-Driven Business
The organisational, architectural and technical decisions involved in building enterprise analytics capabilities.
Co-author · Open access · Apress · 2022
Designing a Scientific Computing System Using OCaml
The design and implementation of a numerical computing library, drawing on our experience developing Owl: arrays, numerical operations, differentiation, computation graphs and deployment.
Co-author · Springer · 2022
Functional Programming in Data Science and Artificial Intelligence
Scientific computing with Owl, from statistics and linear algebra to automatic differentiation, optimisation, neural networks and computer-vision examples.
Associate editor · 机械工业出版社 / China Machine Press · 2021
第三版 · Introduction to Internet of Things Technology
A Chinese-language textbook on Internet of Things technology, used in software and computing education.