Of all the forms of inequality, injustice in healthcare is the most shocking and inhuman ~ Martin Luther King Jr.
I am currently a Schmidt Science Post-doctoral Fellow at the Massachusetts Institute of Technology (MIT) in the Computer Science and Artificial Intelligence Laboratory (CSAIL), advised by Dr. Regina Barzilay. I am working towards using deep convolutional neural networks to improve medical risk assessment for breast cancer using mammograms. My overall research and career interests lie in using technology to bridge disparities in health care around the world, particularly in low- and middle-income countries.
I received my Ph.D. from Duke University, in September 2019. At Duke, I conducted research in the Center for Global Women’s Health Technologies, supervised by Dr. Nimmi Ramanujam. For my dissertation, I developed a novel imaging device, the Callascope to improve cervical cancer screening and increase accessibility to early screening and detection for the treatment of cervical pre-cancers. I also developed image processing and machine learning algorithms for automated risk assessment of cervical pre-cancerous images obtained by the Callascope. In addition to inventing this device, I worked with clinicians in the USA, Peru, and Ghana to design and implement clinical feasibility studies.
Prior to Duke, I obtained my BSc. in Biomedical Engineering with a minor in Business from the University of Rochester through the Zawadi Africa Education Fund, a full-tuition, and expenses scholarship for African women. I completed my high school education at Holy Child Senior High School in Ghana.