Javier Jo
University of Oklahoma.
Javier A. Jo, Ph.D., is a biomedical scientist and professor of electrical and computer engineering at the University of Oklahoma.
He is a leading innovator in the integration of optical imaging and machine learning, developing intelligent imaging systems that enable quantitative, information-rich visualization and automated, objective data interpretation. His work advances precision medicine by transforming imaging big data into actionable insights for more effective, personalized clinical decision-making.
Jo earned his bachelor’s in electrical engineering from Universidad Católica del Perú, and his master’s in electrical engineering and doctorate in biomedical engineering from the University of Southern California. He is a Fellow of the Society of Photo-Optical Instrumentation Engineers (SPIE), the American Institute for Medical and Biological Engineering (AIMBE), and Optica.