Sarah Hooper

2018 Hertz Fellow
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Sarah Hooper is a Research Scientist at the National Institutes of Health.

Hooper is driven to improve health outcomes through technological innovation. Her graduate research focused on developing and evaluating deep learning methods for medical imaging applications. She worked on projects throughout the medical imaging pipeline, from upstream image acquisition to downstream image analysis. Hooper’s dissertation focused on a line of work around medical image segmentation, exploring how to leverage machine learning to speed up clinical workflows and improve the accuracy of automated image analysis.

She helped create multiple new medical devices during her undergraduate career at Rice University, where she earned her B.S. in electrical engineering and a minor in global health technologies.

Through developing and implementing different medical devices, she saw the incredible power of technology to transform patient care. In particular, she saw the potential for accessible medical devices to drastically improve health outcomes in resource-limited settings during an internship in Malawi, where she worked to create low-cost devices to combat neonatal hypothermia.

In addition to her work in global health, Sarah became interested in how machine learning could be applied to benefit healthcare through her research using data science to create a seizure prediction system for patients with epilepsy. She is excited by the many opportunities she sees to use machine learning and signal processing to improve domestic and global health outcomes.

Outside of the lab, Sarah enjoys traveling, drawing, and exploring around her beautiful new home in Northern California. She is originally from Austin, Texas.

Graduate Studies

PhD, Stanford University
Electrical Engineering
Label-Efficient Machine Learning for Medical Image Analysis

Undergraduate Studies

Rice University

Related News

Nov 28, 2023
Hertz Fellow Sarah Hooper is helping develop a solution to both reduce diagnostic imaging costs and address shortages and delays in radiology: integrate automated, machine learning algorithms into the medical imaging workflow.
Oct 24, 2023
The Fannie and John Hertz Foundation is proud to recognize the most recent graduates of the Hertz Fellowship in applied science, mathematics, and engineering.
Dec 16, 2021
The Hertz Foundation's mentoring program brings mid-career and senior leaders in the sciences together with in-school Hertz Fellows for regular online conversations about careers.
Jul 9, 2018
Seven Hertz Fellows will Work at the Bill & Melinda Gates Foundation as Summer Interns.
Mar 26, 2018
The 2018 Class of the Most Selective Fellowship Program in the Country Includes the Highest Proportion of Women of Any Class in the Foundation’s 60-Year History.

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Jun 27, 2024 - Jun 27, 2024
Innovation Hour
At the June 2024 Innovation Hour, Marcia Isakson, Hertz Fellow and Director of the Signal and Information Sciences Laboratory at Applied Research Laboratories, The University of Texas at Austin (ARL:UT), will share insights from her career of over 30 years applying science and technology to improve the field of underwater acoustics and enhance our country’s national security.