I am a PhD Candidate at the Department of Statistics and Data Science at University of California, Los Angeles, supervised by Hongjing Lu and Ying Nian Wu. I am currently a Research Intern on the Program Synthesis team at Microsoft.

I study how humans perceive, represent, and reason about the visual and physical world under uncertainty. My work explores how structured representations can explain perception and enable resource-rational, generalizable reasoning.

My research work is centered around three key directions:

• Studying how programs can serve as an interpretable form of knowledge representation
• Developing Probabilistic and Deep Learning methods that jointly reason over images and programs
• Enhancing Search and Inference with Large Language Models (LLMs)