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Muyinatu Bell, PhD
- Johns Hopkins School of Medicine Faculty
Languages
- English
Gender
FemaleAbout Muyinatu Bell
Background
Muyinatu A. Lediju Bell obtained a PhD in Biomedical Engineering from Duke University (2012) and a BS in Mechanical Engineering with a minor in Biomedical Engineering from the Massachusetts Institute of Technology (2006). In addition, she spent a year abroad as an academic visitor at the Institute of Cancer Research and Royal Marsden Hospital in the United Kingdom (2009-2010). Prior to joining the faculty, Prof. 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. She was recently named by MIT Technology Review as one of 35 Innovators Under 35.
Recent News Articles and Media Coverage
Additional Academic Titles
Joint Appointment in Biomedical Engineering, Joint Appointment in Oncology
Research Interests
Advanced beamforming methods, Clinical translation, Image quality improvements, Image-guided surgery, Light delivery systems, Medical device design, Medical robotics, Photoacoustic imaging, Technology development, Ultrasound imaging
Research Summary
Prof. 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, Prof. 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.