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I develop computational imaging tools for scientific discovery.

My work is interdisciplinary by nature, at the intersection of artificial intelligence and physics. I am interested in defining and solving novel inverse problems in diverse fields: from astrophysics to climate.

Starting July 2024 I will be joining the Department of Computer Science at the University of Toronto as an assistant professor.

I'm looking for postdocs and students to join my research group (more on this page)

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

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.


California Institute of Technology

330 South Chester Avenue, Pasadena CA 91125

Office: 337 Annenberg IST Center

"computer science is no more about computers than astronomy is about telescopes" - Edsger Dijkstra

Updates / Highlights

April 2024

Mar 2024

I will be speaking at the Computer Vision for Science workshop at CVPR 2024

New work diving into uncertainty quantification in cloud tomography, led by Roi Ronen, is up on arXiv

Mar 2024

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