Xin Wan

Research · Markets · Mechanism Design

Xin Wan

Staff Research Scientist & Head of Research and Data Science, Uniswap Labs

I study how decentralized markets actually behave — liquidity, auctions, MEV — and help design the mechanisms that make them work better.

Portrait of Xin Wan
Publications
13
Citations
150+
Talks
12+
Apps live
8

About

Background

I lead the Research and Data Science team at Uniswap Labs. My work sits at the intersection of empirical market microstructure, protocol economics, and mechanism design — from measuring the costs of swapping onchain to designing the auctions behind UniswapX, Unichain, and the Uniswap Liquidity Launchpad.

Before crypto, I was a quantitative researcher at AQR Capital Management, focused on equity alpha signals and portfolio risk modeling, and before that a structured products and derivatives trader at KGS-Alpha Capital Markets (now BMO Capital Markets).

I hold a Master in Finance from Princeton University and a dual degree in Mathematics and Economics (Wharton) from the University of Pennsylvania.

Open to:

  • Research collaboration — academic or industrial
  • Advising companies and consulting on projects
  • Guest lectures and speaking engagements

Reach out →

Research

Papers & Whitepapers

2025

2024

2023

2022

Projects

Recently Shipped

Live

RiskPrism

Open-source, Barra-style US equity factor risk model — 9 style factors, 30 industries, weekly artifacts, and an MCP server for AI agents.

Live

AMM PvP Challenge

Write an AMM fee strategy, battle other players head-to-head in realistic simulations, and climb the leaderboard.

Live

Mind Reader

A pattern-recognition game where a reinforcement-learning agent learns to predict your next move. Try to stay unpredictable.

All projects →

Speaking

Selected Talks

2024

2023

2022

Media

Community

Positions & Service

Career

Experience

Education

Contact

Get in Touch

Or email directly: nflswanxin (at) gmail (dot) com