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Katie Bouman's research focuses on computational imaging, integrating algorithm design with sensor technology to observe phenomena that are traditionally difficult to measure. Her work is essential for advancing scientific inquiry, as conventional sensors are reaching their limits in accuracy and functionality. Bouman's group employs a multidisciplinary approach, utilizing signal processing, computer vision, and machine learning to uncover hidden signals crucial for both scientific discovery and technological innovation. A notable example of this is her collaboration with the Event Horizon Telescope, where her team is instrumental in building a computational telescope the size of Earth, enabling groundbreaking images of black holes and enhancing our understanding of general relativity in strong-field regimes.
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