Hello, I'm

Frank Wang

1st year Engineering student at the University of Cambridge. Building towards a career in software engineering and quantitative finance.

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Self-intro video coming soon

PythonC++JavaNext.jsReactAlgorithmsData StructuresGitBFS / DFSDynamic ProgrammingREST APIsSQLLinuxPythonC++JavaNext.jsReactAlgorithmsData StructuresGitBFS / DFSDynamic ProgrammingREST APIsSQLLinux
Gallery

Life in photos

🎓
Cambridge
💻
Coding
🌆
Hong Kong
⚙️
Engineering
🎹
Piano
🏃
Running
🤖
Battlecode
🤝
Friends
✈️
Travel
About

A bit about me

I'm from Hong Kong, now studying Engineering at Cambridge. I have a strong maths background — A* Further Maths and HKDSE M2 5** — and I'm building the CS fundamentals to match it. My goal is to land strong internships at top-tier SWE and quant firms across my four years, starting summer 2027. I'm most drawn to problems that sit at the edge of maths and systems — algorithms, market microstructure, and anything that rewards clear thinking under constraints.

Outside the lab

Hobbies

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Competitive Programming

Codeforces regular. Working towards 1400+ rating before summer 2026 applications.

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Mathematics

Olympiad puzzles and problem sets. A* Further Maths, HKDSE M2 5**.

🎹

Piano

Playing since age 8. Mostly classical — Bach and Chopin.

🏃

Running

Weekly runs along the Cam. Good for thinking through hard problems.

📈

Quantitative Finance

Following prop trading and market microstructure. Target: Five Rings.

🎮

Game AI

Currently building a Battlecode 2026 bot — £15k prize pool, finals May 6.

Currently reading

Reading list

Textbook

Introduction to Algorithms (CLRS)

Cormen, Leiserson, Rivest, Stein — the algorithms bible.

Non-fiction

Thinking, Fast and Slow

Daniel Kahneman — decision-making and cognitive bias.

Technical

The Pragmatic Programmer

Hunt & Thomas — practical software craftsmanship.

Non-fiction

Flash Boys

Michael Lewis — high-frequency trading and market structure.

Writing

Articles

Coming soon

What I learned building a Battlecode AI from scratch

BFS pathfinding, resource allocation, and why greedy fails under time pressure.

Coming soon

Why Cambridge Engineering is secretly great prep for SWE interviews

The unexpected overlap between engineering maths and algorithm design.

More articles in progress — check back after May 2026.