
Sarah Hooper
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
Bio
I work on problems at the intersection of machine learning and medicine, with a focus on medical imaging. I am interested in how new technology can improve the affordability and accessibility of quality healthcare. At Stanford, I am advised by Chris RĂ© in computer science and Curt Langlotz and Sanjiv Sam Gambhir in radiology.
Honors & Awards
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Fellow, Hertz Foundation
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Fellow, National Science Foundation Graduate Research Fellowship
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Fellow, Stanford Graduate Fellowship in Science and Engineering
Education & Certifications
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B.S., Rice University, Electrical Engineering (2017)
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Minor, Rice University, Global Health Technologies (2017)
Current Research and Scholarly Interests
Medical and molecular imaging, machine learning to improve healthcare