Muyinatu Bell


Muyinatu “Bisi” A. Lediju Bell is a Professor of Biomedical Engineering, Electrical and Computer Engineering, and Computer Science at Johns Hopkins University. She is director of the .

Early life and education

Bell grew up in Brooklyn, New York. She decided she was going to be a scientist at the age of six. In high school, she was selected to take part in a maths and science program for successful women sophomores. She studied at Massachusetts Institute of Technology, graduating with a bachelor's degree in mechanical engineering in 2006. She was involved in several societies, including the Biomedical Engineering Society, the Black Women's Alliance, the Black Student Union, and the Women's Technology Program. She joined Duke University for her postgraduate studies. She finished her PhD in 2012, and also received a Whitaker Foundation International Fellowship to lead a research project at the Institute of Cancer Research and Royal Marsden Hospital during 2009-2010. Her graduate dissertation research was supported by a UNCF/Merck Graduate Dissertation Fellowship. Bell became a postdoctoral fellow at Johns Hopkins University, working in the centre for Computer-Integrated Surgical Systems and Technology. Her postdoctoral appointment was supported by both UNCF/Merck and the Ford Foundation. In 2012, she was selected to take part in the University of Michigan NextProf workshop.

Career and research

Bell joined the faculty of Johns Hopkins University as an interim assistant research professor. She works with the Laboratory for Computational Sensing and Robotics to develop systems that can control individual ultrasound and photoacoustic components. She is exploring various medical robots for treating and diagnosing medical conditions. She launched an online course, Introduction to Medical Imaging, on Udemy in 2015. That year she was awarded a National Institutes of Health K99/R00 Pathway to Independence Award. This allowed her to evaluate coherence-based photoacoustic image guidance for transsphenoidal surgery. She holds a patent in short-lag spatial coherence beamforming. The technique can be used for photoacoustic image guidance of medical procedures, such as skull base surgery or prostate brachytherapy. She provided a free MATLAB toolbox UltraSound Toolbox to help process ultrasonic signals. In 2016, she founded PULSE, the Photoacoustic and Ultrasonic Systems Engineering Laboratory. She was included in the MIT Technology Review 2016 list of 35 Innovators Under 35.
Bell joined the faculty of biomedical engineering at Johns Hopkins University in January 2017. She was awarded a National Institutes of Health Trailblazer Award in 2018. The award uses machine learning to improve the quality of ultrasound images. She will explore convolutional neural networks that input data and output readable images that are free from artefacts. She took part in the 2017 Deep Learning in Healthcare Summit in Boston. She was awarded a 2018 Johns Hopkins University Discovery Award, which allowed her to explore the use of photoacoustic image guidance in gynaecological surgeries. She was awarded an NSF CAREER Award in 2018 to allow her to advance photoacoustic-guided surgery. This will help surgeons avoid damaging vital structures during operations. She was invited by the National Academy of Engineering to participate in the U.S. Frontiers of Engineering Symposium in 2018. She was awarded a Sloan Research Fellowship and she was named Maryland’s Outstanding Young Engineer by the Maryland Academy of Sciences and the Maryland Science Center in 2019.
Bell is a senior member of both the Institute of Electrical and Electronics Engineers and SPIE. She regularly attends IEEE and SPIE conferences, she is active in the IEEE Women in Engineering community, and she supports SPIE women in optics activities.

Awards and honors

Bell's awards and honors include: