Katie Bouman
Katie Bouman develops computational imaging methods. Her work combines machine learning, physics and sensor design to recover signals that conventional imaging can miss. Bouman earned a bachelor’s degree at Michigan in 2011, a master’s degree at MIT in 2013 and a doctorate in 2017. Bouman was an assistant professor at Caltech from 2019 to 2024. She also held a visiting appointment in 2018–2019.
Timeline
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2011–2017
Training in computational imaging
Bouman earned a bachelor’s degree at Michigan in 2011, a master’s degree at MIT in 2013 and a doctorate in 2017.
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2019
Joining Caltech
Bouman was an assistant professor at Caltech from 2019 to 2024. She also held a visiting appointment in 2018–2019.
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2025
Professorship
Caltech promoted her to professor in 2025. Her stated research integrates signal processing, computer vision, machine learning and physics.
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As of October 2026
Collaborative black-hole imaging
Her group collaborates with the Event Horizon Telescope. The group builds imaging methods and studies the resulting black-hole images to examine general relativity.
Sources and credits
Photo: Credit: NSF, via Wikimedia Commons. License: Public domain. Source: commons.wikimedia.org. Cropped to a square and resized. Ask us to remove or replace this photo.
