Katherine L. (Katie) Bouman

Katherine L. (Katie) Bouman

Assistant Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy; Rosenberg Scholar; Investigator, Heritage Medical Research Institute

Degrees and Appointments

B.S., University of Michigan, Ann Arbor, 2011; M.S., Massachusetts Institute of Technology, 2013; Ph.D., 2017; Visiting Associate, Caltech, 2018-19; Assistant Professor, 2019-; Rosenberg Scholar, 2019-; HMRI Investigator, 2021-.


Research Group Matters
Monica Nolasco
107 Steele Laboratory

Personal Website »

Research Overview

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. Imaging plays a critical role in advancing science. However, as science continues to push boundaries, traditional sensors are reaching the limits of what they can measure. Katie's group combines ideas from signal processing, computer vision, machine learning, and physics to find and exploit hidden signals for both scientific discovery and technological innovation. For example, in collaboration with the Event Horizon Telescope, Katie's group is helping to build a computational earth-sized telescope that is taking the first images of a black hole and is analyzing its images to learn about general relativity in the strong-field regime.

EAS News about Katherine L. (Katie) Bouman

  • Tech Brief: Bringing a New Dimension into Black Hole Imaging »
  • Researchers Help Generate First Image of Black Hole at the Center of Our Galaxy »
  • Zihui (Ray) Wu Wins Best Paper Award at ML4Health Conference »

  • Read more news about Katherine L. (Katie) Bouman »