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Katie Bouman's research focuses on computational imaging, emphasizing the design of systems that tightly integrate algorithms and sensor design. Her work aims to enable the observation of phenomena that are traditionally difficult or impossible to measure with conventional approaches. Imaging plays a critical role in advancing science, yet traditional sensors are reaching their limits. Bouman's group employs a combination of signal processing, computer vision, and machine learning techniques alongside principles from physics to uncover hidden signals that lead to scientific discovery and technological innovation. Notably, she has contributed to the Event Horizon Telescope project, which is constructing a computational earth-sized telescope to capture images of black holes, providing insights into general relativity in strong-field regimes.
California Institute of Technology • Pasadena, CA
Teaching and conducting research in the fields of computational imaging and electrical engineering.
California Institute of Technology • Pasadena, CA
Conducting research and teaching in electrical engineering and mathematical sciences.
California Institute of Technology • Pasadena, CA
Conducting research and contributing to teaching in the field of electrical engineering.
California Institute of Technology • Pasadena, CA
Collaborating with the faculty on research initiatives.
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