Hello! Husky here! I'm an MSML student at CMU, working with the Locus Lab. My research focuses on LLM pre-training, particularly model architectures and training algorithms. I am currently interested in:

• Loop Models - weight-tied architectures and iterative dynamics.
• Scalable Reasoning - architectures and training methods that improve both reasoning capability and computational efficiency.

Before this, I worked on generative world models with the VCG Group at Harvard and Maitrix at UCSD, LLM-agent-based dataset curation with the TRAIS Lab at UIUC, and AI interpretability with the XAI Lab at SJTU. More details are available in Experience below.