Prof. Javier A. Jo

Fellow Member | Professor at Univ of Oklahoma
Jo, Javier A.
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SPIE Membership: 13.1 years
SPIE Awards: Fellow status | Senior status
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Area of Expertise: optical sensing and imaging instrumentation, signal and image analysis, artificial intelligence, machine learning, computer aided diagnosis/detection, clinical translational research
Websites: Personal Website | Company Website
Social Media: LinkedIn
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Profile Summary

Dr. Javier A. Jo received the B.S. in electrical engineering from the Pontificia Universidad Católica del Peru in 1996. In 1998, he joined the University of Southern California, Los Angeles, obtaining the M.S. in electrical engineering (signal and image processing) and the Ph.D. in biomedical engineering (physiological modeling), in 2000 and 2002, respectively.

In 2002, Dr. Jo changed his research focus to the field of biophotonics and has continued working in this field since then. Prior to starting his academic appointments, Dr. Jo was a postdoctoral fellow within the Department of Surgery, at Cedars-Sinai Medical Center, Los Angeles (2002-2005), and a project scientist within the Department of Biomedical Engineering at the University of California, Davis (2006). In 2016, he joined the faculty of the Department of Biomedical Engineering at Texas A&M University, where he stablished the Laboratory for Optical Diagnosis and Imaging (LODI). Dr. Jo joined the faculty of the School of Electrical and Computer Engineering at the University of Oklahoma in 2019.

The overall mission of Dr. Jo’s research program is to develop optical sensing and imaging technologies that will impact how we: (1) study pathophysiological mechanism underlying major human diseases; and (2) clinically manage patients suffering from these diseases. While most academic labs in the field of biomedical imaging focus on either instrumentation development or computational imaging science, Dr. Jo leads a very unique research program dedicated to address major unmet needs in both biomedical research and clinical practice through the design, development, and validation of both optical spectroscopy/imaging instrumentation and computational tools and methods for the nondestructive, non or minimally invasive morphological, molecular and physiological characterization of biological and engineered tissues at multiple spatial and temporal scales.

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