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 Ré in computer science and Curt Langlotz and Sanjiv Sam Gambhir in radiology.

Honors & Awards

  • Fellow, Hertz Foundation
  • Fellow, National Science Foundation Graduate Research Fellowship
  • Fellow, Stanford Graduate Fellowship in Science and Engineering

Education & Certifications

  • B.S., Rice University, Electrical Engineering (2017)
  • Minor, Rice University, Global Health Technologies (2017)

Contact

  • Academic
    smhooper@stanford.edu
    University - Student Department: Electrical Engineering Position: Graduate

Current Research and Scholarly Interests

Medical and molecular imaging, machine learning to improve healthcare

Lab Affiliations