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
10

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

Data Art Galleries

Fourteen underused public data sets, each turned into an animated, sonified room in its own visual style — built by thirteen agents in parallel.

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