About Me

Hello! Husky here! I'm an incoming student in the CMU MSML program. Throughout my research journey, I've explored a variety of topics. Currently, my primary focus is on generative world modeling, where I have been working with Professor Zhiting Hu on World Model Projects. Prior to this, I collaborated with my amazing supervisor Jiaqi W. Ma at the TRAIS Lab, focusing on dataset curation using LLM agents. I also had a valuable research experience in AI interpretability at Professor Quanshi Zhang's XAI Lab.

Within world modeling, I'm particularly(currently) interested in the following directions:

• How can we enable world models to operate effectively in long-sequence scenarios? This includes both looking ahead (simulating long trajectories) and looking back (designing effective memory mechanisms).
• How can we make world models real-time interactive? This is especially crucial for real world applications, and I find both the mathematical and ML systems perspectives fascinating.
• How can we make world models more physically grounded? I'm excited to explore data-driven approaches, RLHF, and other emerging methods.

If you're also passionate about these areas, feel free to reach out! I'm always open to collaborations and eager to gain more experience along the way.