About Me
Bio
I am an independent AI researcher working on novel approaches to machine general intelligence beyond current LLM paradigms. My work combines theoretical exploration with hands-on system building. I hold an undergraduate degree from Tsinghua University and a master’s degree from Duke University. Outside of work, I spend time lifting and playing games.
Research Overview
At a very high level, my current research areas are:
- Integration of neural and symbolic approaches
- Memory and continual learning mechanisms
- Ideas informed by multiple disciplines
I approach research with:
- Close coupling between conceptual exploration and implementation/experimentation
- Simplicity as a prior in both research and engineering
- Intellectual independence and readiness to explore unique ideas
I employ reasoning and generalization benchmarks, such as ARC-AGI, to guide and measure progress in my research.
I am currently building
Iter Labs (iter as in journey in latin and iter() in python), an early-stage independent research vehicle for developing and experimenting with my research ideas.