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Katherine L. (Katie) Bouman

Professor · Computing and Mathematical Sciences

California Institute of Technology · United States
Computational imagingSignal processingComputer visionMachine learningBlack hole imaging

About

Katie Bouman's research focuses on computational imaging: designing systems that tightly integrate algorithm and sensor design, making it possible to observe phenomena previously difficult or impossible to measure with traditional approaches. Her group combines ideas from signal processing, computer vision, machine learning, and physics to find and exploit hidden signals for scientific discovery and technological innovation. In collaboration with the Event Horizon Telescope, her group is helping to build a computational earth-sized telescope that is taking the first images of a black hole.

Education

  • B.S., University of Michigan, Ann Arbor, 2011
  • M.S., Massachusetts Institute of Technology, 2013
  • Ph.D., Massachusetts Institute of Technology, 2017

Data verified 9/6/2026Source

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