Siyuan Han

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:

  • Intelligence Systems: Autonomous decision systems, automated intelligence, and AI-native systems for discovery, reasoning, and execution.
  • High-Performance Infrastructure: Blockchain execution layers, low-latency distributed systems, and database internals spanning storage and transaction execution engines.

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.

Selected Investments

MegaETH (realized 20x+), Cysic, Pi Squared (exited), Funes, 42 Space, Hertzflow, and several undisclosed AI-related deals.

Selected Projects/Papers