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.

 

My work is supported by the Ontario Research Fund (ORF) and Natural Sciences and Engineering Research Council of Canada (NSERC).

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In the Media.
   “AI reveals a new 3D view of the Milky Way’s black hole” — Space.com
   “Watch a hotspot orbit our galaxy’s black hole” — Sky & Telescope
   “Black hole flares reconstructed in 3D using AI and Einstein’s equations” — Science Friday

Additional coverage in Live Science, ZME Science, and Interesting Engineering.

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