Hi, I’m Ming.
I’m a Data Scientist / Quant Researcher 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 DeFi vault strategies; earlier I worked on restaking protocols and 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, where I received the Phoenix Scholarship and was 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.
What’s new
All 18 updatesSpoke on the “Yield At Scale: Building Earn Features for 100M+ Users” panel at Vault Summit Singapore, alongside Bitget and Morph
New blog post with Tarun Chitra, “Inside Aria: Engineering an Agent for Institutional DeFi”, on the Gauntlet blog [ blog ]
New blog post with Tarun Chitra, “Building Risk-Aware AI Agents for Vault Curation”, on the Gauntlet blog [ blog ]
Gave a talk on “Pricing Slashing Risks” at ETHDenver’s Restaking Circle event [ video ]