David Bromley

Hello! I am a PhD student at the Department of Computer Science, University of Toronto in the Physics-Informed Vision and Imaging, a part of the Toronto Computational Imaging Group, supervised by Aviad Levis.

I study computational imaging for science. In particular, I work on developing methods for astrophysicists to better image black holes. I am interested in generative models, neural fields, physics-informed machine learning, uncertainty quantification, and black hole spacetime tomography.

Previously, I graduated from the University of British Columbia with high distinction, with a Combined Honours in Mathematics and Computer Science. There, I conducted research projects in formal verification and computational biology.

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