Dr. Muyinatu A. Lediju Bell (informally known as “Bisi”) is the John C. Malone Associate Professor of Electrical and Computer Engineering, Biomedical Engineering, and Computer Science at Johns Hopkins University. 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 has published over 140 scientific journal articles and conference papers, delivered over 85 invited talks (including keynote and plenary presentations), and holds patents for SLSC beamforming, photoacoustic-guided surgery, and deep learning for beamforming. Dr. Bell is the recipient of numerous awards, grants, and fellowships, including the NIH K99/R00 Pathway to Independence Award, the MIT Technology Review Innovator Under 35 Award, the NSF CAREER Award, the NIH Trailblazer Award, the Alfred P. Sloan Research Fellowship, Maryland’s Outstanding Young Engineer Award, the ORAU Ralph E. Powe Junior Faculty Enhancement Award, and the SPIE Early Career Achievement Award. She was elected and inducted as a 2022 Fellow of AIMBE, one of only four out of 1,500 in the preceding decade to receive this honor as an assistant professor.
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.
- John C. Malone Associate Professor, Electrical and Computer Engineering
- John C. Malone Associate Professor, Biomedical Engineering
- John C. Malone Associate Professor, Computer Science
Affiliated Centers & Institutes
PhD, Duke University (2012)
BS, Massachusetts Institute of Technology (2006)