Mingxuan He
quantitative research for the decentralized economy
Hi, I'm Ming.
I'm a researcher & data scientist at Gauntlet. In a nutshell, I tackle cutting-edge problems in the decentralized economy using tools from math, economics, and data science. My current focus at Gauntlet is restaking protocols & LRTs. I also have a breadth of interests in agent-based modeling, algorithmic game theory, zkML, and AI agents.
Previously, I worked at Nethermind as a research & data science intern and at Polygon as a DeFi research analyst.
I completed my M.A. in computational economics at UChicago, advised by Gina Pieters and Anthony Lee Zhang. I completed my B.A. in math and economics w/ honors at Grinnell College.
During free time, I enjoy gaming and watching movies/anime with family.
Links
Mingxuan (Ming) He 何明宣
Pronouns: He/Him/His
ENS: mingxuanh.eth
What's New
2024
(Aug 2024) New research blog "Restaking Collateral Health" published [blog]
(Jun 2024) I officially joined Gauntlet as a data scientist in applied research!
2023
(Dec 2023) New paper "Deep Learning for Dynamic NFT Pricing" available on arxiv [paper]
(Oct 2023) Invited by Uniswap Foundation as a founding member of the MEV-UX research group.
(Sep 2023) Gave a talk on LSDFi @ ETH Chicago [slides] [video]
(Sep 2023) Hosted a workshop on agent-based simulation for DApps @ ETH Chicago [slides]
(Sep 2023) Gave a talk on LSD risks @ Science of Blockchain Conference - DFS Forum, Stanford University [slides]
(Aug 2023) Open-source project "Dynamic Optimization Algorithm for Self-regulating Tokenomics" accepted by Gitcoin Grants 18 and received 800+ public donations. [news article] [announcement]
(Jun 2023) Started a research internship at Nethermind, working on mechanism design and quantitative modeling for DeFi.
2022
(Oct 2022) Mentored student cohort on onchain data analysis @ Blockbeam DeFi Bootcamp.
(Aug 2022) Started my M.A. program in computational economics at UChicago. Received a Phoenix Merit Scholarship.
(May 2022) Graduated from Grinnell College with degrees in math & economics w honors!
2021
(Nov 2021) Presented paper "Cascading Failures and the Robustness of Cooperation in a Unified Scale-Free Network Model" @ International Conference on Complex Networks and their Applications (ICCNA21).