Sebastian Magda, PhD
About Sebastian Magda, PhD
Sebastian Magda, PhD, serves as the Director of Science and Engineering at Cortechs.ai in San Diego, California, where he has worked since 2008. He has a strong background in computer vision and AI technology, with experience in developing AI-enabled medical devices and overseeing clinical research.
Work at Cortechs.ai
Sebastian Magda, PhD, has served as the Director of Science and Engineering at Cortechs.ai since 2008. In this role, he oversees scientific and engineering initiatives, focusing on the development of AI-enabled medical devices. He has been instrumental in ensuring compliance with medical regulatory standards and has played a significant role in the commercialization of these technologies. His responsibilities also include representing the company at conferences and business collaborations, where he showcases his expertise in computer vision and AI technology.
Education and Expertise
Sebastian Magda holds multiple degrees from the University of Illinois Urbana-Champaign. He earned a Bachelor of Science in Electrical and Electronics Engineering, followed by a Bachelor of Science in Computer Science. He further advanced his education with a Master of Science in Computer Science and a Doctor of Philosophy in the same field. His academic background provides a strong foundation for his expertise in computer vision, AI technology, and neuroanatomical analysis.
Background
Before joining Cortechs.ai, Sebastian Magda held various positions that contributed to his expertise in engineering and computer science. He worked as a Legal Expert at Rader, Fishman & Grauer, P.L.L.C. from 2008 to 2010 and served as a Computer Vision Engineer at ETEC from 2008 to 2009. Additionally, he was a Visiting Research Scientist at UC San Diego from 2005 to 2007 and a Research Assistant at the University of Illinois Urbana-Champaign from 2000 to 2005. His diverse experiences have shaped his career in science and engineering.
Achievements
Sebastian Magda has made significant contributions to the field of medical device technology. He has extensive experience overseeing the data labeling process and reviewing neuroanatomical cases, providing valuable expertise. His work combines the latest neural network methodologies with traditional AI approaches to enhance algorithm performance in medical image analysis. He has played a pivotal role in advancing clinical research and scientific projects within the medical device sector.