Jorge Bojorquez is a clinician-educator and medical physicist with nine years of experience developing advanced MRI techniques for cancer detection and treatment, currently an Assistant Professor at the University of New Mexico. His research specializes in Restriction Spectrum Imaging (RSI), diffusion-weighted imaging, MR pulse sequence design, and image registration/processing, complemented by machine learning for distortion and motion correction. He brings hands-on MR scanner operation and PACS development experience from UCSD, plus in-vivo EPID dosimetry work from radiation therapy research. With a multidisciplinary background spanning electronics engineering, computer vision, an MBA, and CAMPEP certification, he bridges clinical practice, imaging research, and software tool development. Unusually for a clinician-scientist, he also codes libraries in Java, Visual Basic and GeneXus to accelerate development workflows.
9 years of coding experience
7 years of employment as a software developer
Master in computer vision and robotics, Master in computer vision and robotics at Université de Bourgogne | Universitat de Girona | Heriot-Watt University
Master of Business Administration (MBA), Master of Business Administration (MBA) at Universidad Autonoma de Baja California
CAMPEP Certificate, Health/Medical Physics, CAMPEP Certificate, Health/Medical Physics at University of California, Los Angeles
Contributions:35 commits, 13 PRs, 22 pushes in 1 year 1 month
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Jorge Bojorquez - Clinician Educator Assistant Professor