Katie Bouman Receives Okawa Research Grant


Katie Bouman, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering; Rosenberg Scholar, is a recipient of a 2020 Okawa Foundation Research Grant for her work on "AI Meets Real-World Science: Optimal Sensing for Next-Generation Imaging." This is a prize awarded to faculty involved in the fields of computer science, information systems and/or telecommunications, and other scientific fields inspired by these approaches. [Past Recipients]

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Myra Cheng Receives Goldwater Scholarship


Myra Cheng, an undergraduate student in computing and mathematical sciences, has been selected to receive a Goldwater Scholarship. The Barry Goldwater Scholarship and Excellence in Education Program awards scholarships to college sophomores or juniors who intend to pursue research careers in science, mathematics, and engineering. Myra works with Yisong Yue and Joel Burdick on optimization algorithms that can learn individual preferences based on real-time interaction with people. These algorithms can be used in wearable exoskeletons that help mobility-impaired individuals walk. "I'm interested in how machine learning interacts with humans and, more broadly, human society," she says. Cheng has also been working with Katie Bouman and Claire Ralph on developing algorithms that address questions of explainability and algorithms that affect social change. [Caltech story]

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Katie Bouman Named Recipient of the 2020 Breakthrough Prize for Fundamental Physics


Katie Bouman, Assistant Professor of Computing and Mathematical Sciences and Rosenberg Scholar, has been named a recipient of the 2020 Breakthrough Prize for Fundamental Physics as part of the Event Horizon Telescope (EHT) team that generated the first-ever image of a black hole. [Caltech story] [Breakthrough Prize Announcement]

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Seeing Farther and Deeper


Katie Bouman, Assistant Professor of Computing and Mathematical Sciences, creates images from nonideal sensor data and mines for information from images using techniques that can be applied to everything from medical imaging to studying the universe. She likes to search for information hidden in images, imperceptible to humans, that she can use to learn about the environment around us. [Profile of new EAS faculty member Professor Bouman]

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Katie Bouman Joins EAS and CMS


Congratulations to the entire Event Horizon Telescope team, and especially to Dr. Katie Bouman who is joining the Engineering and Applied Science (EAS) Division in June as assistant professor of computing and mathematical sciences (CMS). Currently, Caltech and CO Architects are working with her to design and construct a unique laboratory that will facilitate her work in computational imaging. The laboratory is the first of its kind and is designed for her to conduct experimental work in conjunction with her computational approaches – making it possible, for instance, to observe phenomena previously difficult or impossible to measure. The black hole imaging is one spectacular example of how Professor Bouman’s algorithms are advancing our knowledge of the world; she has also developed algorithms that let us “see around corners” and detect material properties (such as stiffness and dampness) via imaging. In her work, Bouman has also developed methods to combine information from both imaging as well as acoustic systems to analyze sub-pixel scale vibrations of otherwise seemingly still objects. As a result, relatively inexpensive cameras, combined with powerful algorithms, are an increasingly attractive alternative to complex and expensive laser-based systems to sense “invisible” attributes of a material. [Caltech story - How to Take a Picture of a Black Hole]

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