Erik Gaasedelen, PhD, is a highly skilled individual with a diverse background in the medical/biological and computational fields. He obtained his PhD from the University of Minnesota, focusing on deep learning and virtual reality applications for the cardiac and medical device fields. His educational background includes neuroscience, medicinal chemistry, anatomy, physiology, imaging, and device design.

Along with his extensive knowledge of the medical field, Gaasedelen has a strong coding background with a focus on machine learning. He has experience with autonomous vehicles, web development, functional programming, and video game development. He is currently working at Lyft as a software engineer, formerly part of the Level 5 Self-Driving division. Prior to that, Gaasedelen was a research assistant in the Visible Heart Laboratory at the University of Minnesota, where he conducted extensive research in his fields of expertise.

To summarize, Erik Gaasedelen, PhD, is a highly skilled and knowledgeable individual with a diverse background in the medical/biological and computational fields. He has extensive expertise in deep learning, virtual reality, device design, and computer programming. Currently working at Lyft, his areas of interest include: autonomous vehicles, machine learning, web development, VR, and video game development.