I’m a third-year PhD student at Stanford working at the intersection of robotics and neuroscience. My research centers on world models that capture the structure and dynamics of the physical world, primarily as pretraining for generalist robot policies. I’m also interested in the application of these models as computational theories of human world knowledge and intelligent behavior.
Prior to my PhD, I completed my Master’s in Cognitive Science at Johns Hopkins University, where I developed convolutional neural networks to study primate visual representations and algorithms. Before that, I received my bachelor’s degree in Integrated Engineering from the University of British Columbia.
If you want to connect, you can reach me here. If you just wanna see my cats, .
Publications
- World modeling with probabilistic structure integration
- Convolutional architectures are cortex-aligned de novo
- Distinct yet neighboring neural populations encode past, future, and surrounding speech context in the human temporal lobe
- Intracranial EEG reveals multiplexed encoding of auditory, speech, and language embeddings in the human temporal lobe
- Scanning faces: a deep learning approach to studying eye movements in prosopagnosia