Katherine L. (Katie) Bouman
Associate Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy; Rosenberg Scholar; Investigator, Heritage Medical Research Institute
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.
Related News
Read more newsPublications
- Feng, Brandon Y.;Ferrer-Chávez, Rodrigo et al. (2025) Exoplanet Imaging via Differentiable RenderingIEEE Transactions on Computational Imaging
- Wu, Zihui;Yin, Tianwei et al. (2024) Learning Task-Specific Strategies for Accelerated MRIIEEE Transactions on Computational Imaging
- Levis, Aviad;Chael, Andrew A. et al. (2024) Orbital polarimetric tomography of a flare near the Sagittarius A* supermassive black holeNature Astronomy
- Lin, Yvette Y.;Gao, Angela F. et al. (2024) Imaging An Evolving Black Hole By Leveraging Shared Structure
- Dey, Sreemanti;Saha, Snigdha et al. (2024) Score-based Diffusion Models for Photoacoustic Tomography Image Reconstruction
- Torne, Pablo;Liu, Kuo et al. (2023) A Search for Pulsars around Sgr A* in the First Event Horizon Telescope Data SetAstrophysical Journal
- Leong, Oscar;Gao, Angela F. et al. (2023) Discovering Structure From Corruption for Unsupervised Image ReconstructionIEEE Transactions on Computational Imaging
- Feng, Berthy T.;Smith, Jamie et al. (2023) Score-Based Diffusion Models as Principled Priors for Inverse Imaging
- Gao, Angela F.;Leong, Oscar et al. (2023) Image Reconstruction without Explicit Priors
- Okino, Hiroki;Akiyama, Kazunori et al. (2022) Collimation of the Relativistic Jet in the Quasar 3C 273Astrophysical Journal