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Muyinatu “Bisi” Bell, PhD

John C. Malone Assistant Professor
Muyinatu Bell
Research Focus Area(s): Imaging and Medical Devices
Research Interests: Ultrasound imaging, photoacoustic imaging, image quality improvements, advanced beamforming methods, light delivery systems, medical robotics, image-guided surgery, technology development, medical device design, clinical translation
Lab Website: PULSE Lab
Research Interests

Research Interests

Dr. Muyinatu A. Lediju Bell (informally known as “Bisi”) is the John C. Malone Assistant Professor of Electrical and Computer Engineering with a joint appointment in the Department of Biomedical Engineering. Dr. Bell obtained a Ph.D. in Biomedical Engineering from Duke University and a B.S. in Mechanical Engineering (BME minor) from Massachusetts Institute of Technology. In addition, Dr. Bell spent a year abroad as a Whitaker International Fellow, conducting research at the Institute of Cancer Research and Royal Marsden Hospital in the United Kingdom. Prior to joining the faculty, Dr. Bell was a postdoctoral fellow with the Engineering Research Center for Computer-Integrated Surgical Systems and Technology at Johns Hopkins University. She published over 40 scientific journal articles and conference papers, holds a patent for SLSC beamforming, and is the recipient of numerous awards, grants, and fellowships, including the prestigious NIH K99/R00 Pathway to Independence Award and the esteemed MIT Technology Review 35 Innovators Under 35 Award.

Dr. Bell leads a highly interdisciplinary research program that integrates optics, acoustics, robotics, electronics, and mechanics, as well as signal processing and medical device design, to engineer and deploy innovative biomedical imaging systems that simultaneously address unmet clinical needs and significantly improve the standard of patient care. As the director of the Photoacoustic and Ultrasonic Systems Engineering (PULSE) Lab, Dr. Bell develops theories, models, and simulations to investigate advanced beamforming techniques for improving ultrasonic and photoacoustic image quality. In parallel, she designs and builds novel light delivery systems for photoacoustic imaging and incorporates  medical robots to improve operator maneuverability and enable standardized procedures for more personalized medicine. The technologies developed in her lab are then interfaced with patients to facilitate clinical translation. These technologies have applications in neurosurgical navigation, cardiovascular disease, women’s health, and cancer detection and treatment.

Titles & Affiliations


  • John C. Malone Assistant Professor, Electrical and Computer Engineering
  • John C. Malone Assistant Professor, Biomedical Engineering
  • John C. Malone Assistant Professor, Computer Science

Affiliated Centers & Institutes



PhD, Duke University (2012)
BS, Massachusetts Institute of Technology (2006)



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