About
I am a fifth-year PhD candidate at Caltech in the Computing and Mathematical Sciences department. I mainly work on computational imaging with a focus on astrophysical applications (Dark Matter and Black Holes). More broadly, I am interested in generative modeling and problems at the intersection of machine learning and physics.
I am advised by Katie Bouman in the Computational Cameras Group, supported by the Gupta Fellowship and a NASA PDRDF grant. I am currently also a student researcher at Google Deepmind, hosted by Pratul Srinivasan. I graduated from Duke University in 2021, where I worked with Cynthia Rudin on interpretability.
I am a member of the Event Horizon Telescope collaboration. I am also currently working with the COSMOS collaboration on dark matter imaging with the James Webb Space Telescope.
Publications
Video reconstruction of variable VLBI observations with neural fields
Marianna Foschi*, Brandon Zhao*, Antonio Fuentes*, Katherine L. Bouman, José L. Gómez, Aviad Levis
Nature, 2026
Fourier Feature Pyramids for Physics-Informed Neural Networks
Brandon Zhao, Yixuan Wang, Jonathan T. Barron, Katherine L. Bouman, Dor Verbin, Pratul P. Srinivasan
arXiv preprint
