I’m an Engineer, Researcher, and Investor in AI and Crypto at Binance (YZi) Labs, working with top founders and senior leadership. Previously, as Partner and technical lead at ABCDE Labs, I led the first round of MegaETH (and put all my PhD savings in) from sourcing through exit, realizing returns equivalent to half of the fund’s total capital; my personal book delivered ~7× MOIC and 4.6× DPI within 2 years.
My research focuses on the intersection of high-performance infrastructure, learned data structures, and intelligence systems. Some of my work has been published in ICDE, VLDB and SIGMOD. Specifically, I specialize in:
Drawing from my background as a white hat (Wooyun veteran), I am obsessed with deconstructing the first principles and execution logic of complex systems — from database kernels to blockchain — to identify bottlenecks, uncover optimization opportunities, and push their performance to the limit.
I previously worked on a book on the Ethereum execution layer, but now I believe AI can do this better. I am currently building an automated intelligence system (an early-stage project for technology trend and talent discovery) and an automated reverse engineering agent.
I also run a PhD scholarship initiative called Happy-Sci. Currently enrolled senior PhD students are welcome to contact me for a 200 USDT grant. The program operates on the BNB Chain and has already supported over 700 researchers worldwide.MegaETH (realized 20x+), Cysic, Pi Squared (exited), Funes, 42 Space, Hertzflow, and several undisclosed AI-related deals.