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 2017, where I worked with Cynthia Rudin on interpretability.
I am a member of the Event Horizon Telescope collaboration. I am also currently collaborating with the James Webb Space Telescope, working on dark matter imaging.
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, in press
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
Mars image content classification: Three years of nasa deployment and recent advances
Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake Lee, Lukas Mandrake
AAAI 2021