Nathan White
About Nathan White
Nathan White serves as the Chief Technology Officer at Cortechs.ai, where he has worked since 2020. He has over 15 years of experience in diagnostic imaging technology and has held various academic and leadership positions in the field of medical imaging.
Work at Cortechs.ai
Nathan White has served as the Chief Technology Officer at Cortechs.ai since 2020. In this role, he manages a diverse team that includes AI/ML engineers, product managers, data scientists, platform architects, and software developers. His leadership focuses on developing innovative medical imaging AI/ML solutions that are deployed globally. Under his guidance, the company has made significant strides in creating a secure and scalable cloud-based platform that complies with HIPAA regulations, enhancing radiology workflows.
Education and Expertise
Nathan White earned a Ph.D. in Cognitive Science from the University of California, San Diego, where he studied from 2004 to 2010. His academic journey began at Boston University, where he obtained a B.S. in Biomedical Engineering from 1996 to 1999. His educational background has equipped him with a deep understanding of both cognitive science and biomedical engineering, which he applies in his current role in medical imaging technology.
Background
Before joining Cortechs.ai, Nathan White held various positions at the University of California, San Diego. He worked as a Director of Imaging Technology and Assistant Professor in Radiology from 2015 to 2017, and as a Project Scientist and Postdoctoral Researcher in the Department of Radiology from 2010 to 2015. He also co-founded ZepMed, serving as Co-Founder and CTO from 2017 to 2019, where he contributed to advancements in medical imaging technology.
Achievements
Nathan White has developed five FDA-cleared and CE-marked AI/ML medical imaging products, focusing on neurology and oncology. He has implemented DevOps and MLOps strategies to automate machine learning applications in healthcare. Additionally, he has secured three NIH SBIR FastTrack awards, which support ongoing innovation in medical imaging AI/ML solutions. His extensive experience in CT and MRI diagnostic imaging technology spans over 15 years.