Aviad Levis 

I am an Assistant Professor at the University of Toronto, with appointments in the Department of Computer Science, the David A. Dunlap Department of Astronomy & Astrophysics, and the Dunlap Institute for Astronomy & Astrophysics. I develop computational imaging tools for scientific discovery, pushing the limits of what can be observed. My work is interdisciplinary by nature, at the intersection of artificial intelligence and physics.

I lead PI-Vision (Physics-Informed Vision & Imaging), a research group focused on developing new imaging systems and physics-aware algorithms to solve challenging inverse problems across astronomy, Earth observation, and the physical sciences. PI-Vision is part of the broader Toronto Computational Imaging Group, a cross-disciplinary research community spanning computer science, graphics, and the physical sciences at the University of Toronto.

Previously, I was a postdoctoral researcher with Katie Bouman at the Computing + Mathematical Sciences department at Caltech where I worked on imaging black holes with the Event Horizon Telescope (EHT) (more about this work on this page). 

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Prior to that, I received my Ph.D. from the Technion (EE) under the supervision of Yoav Schechner. Thesis: Volumetric Imaging of the Natural Environment. My research thesis into cloud tomography paved the way for a novel space mission CloudCT. The mission of coordinated nano-satellites will enable "seeing into the clouds"  (more details) with the goal of advancing our understanding of cloud physics and improving climate models.