Hello! I am a second-year PhD student at UC Berkeley and part of Laura Waller's Computational Imaging Lab as well as Jacob Yates' Active Vision and Neural Computation Lab.

There is a significant gap between how brains and computers perceive the world. This gap poses challenges for tasks that require interpreting complex, dynamic environments like self-driving cars. To address this, I am using insights from neuroscience to develop new theoretical and empirical methods that don't suffer from current limitations. By combining principles of brain-like perception with modern computational methods, my research aims to bridge this divide and enable safer, more adaptive, and more efficient autonomous systems. I have lots in progress, but if you are interested in learning more you can check out my recent work on Poisson Variational Autoencoders. There is also an available early draft for follow-up theoretical and experimental work here.