Personal Bio

Hello everyone, and welcome to my personal bio!

I completed my undergraduate studies at the University of Michigan, where I earned my B.S. in Data Science (Go Blue!). Currently, I am pursuing a Master of Science in Data Science at the University of Chicago, under the Data Science Institute (DSI).

During my time here, I have had the opportunity to work with incredible faculty and collaborators, including Prof. James Evans at the Knowledge Lab, Prof. Zhewei Sun in the Speech and Language Group at the Toyota Technological Institute at Chicago (TTIC), Prof. Ari Holtzman at the Conceptualization Lab, and Prof. Bryon Aragam at the Booth School of Business.

Research Interests

My research focuses on understanding, designing, and deploying AI systems that support social goods and align with human values and capabilities. Specifically, I foucs on the following three asepcts:
Cultural Co-Evolution of Machines and Humans: I investigate how LLMs absorb and reproduce the latent structures of human imagination, scientific judgment, and cultural evolution.
Automation of Scientific Discovery: I design agentic frameworks and human-in-the-loop systems that enable LLMs to act as proactive “co-theorists” in scientific reasoning and hypothesis generation.
Rethinking LLM Benchmarking Paradigms: I develop principled methods to evaluate model capabilities and credibility beyond traditional benchmarks, probing the internal exposure landscape and reliability of LLMs.

Open to Collaborations

I am always open to collaborations! If you have an interesting or early-stage idea， let’s discuss it and see how we can turn it into something impactful together.