About

Fred Nugen, PhD is a Healthcare Data Science leader with over 21 years of relevant experience in the field. He is an expert in Data Science, Artificial Intelligence (AI), and Machine Learning (ML) and is dedicated to improving health outcomes through the development of simulation and prediction tools. Fred is currently a Research Fellow at Mayo Clinic, where he leads diverse teams in designing, scoping, and building Data Science products that have Impact, Originality, and Value. Fred has a strong educational background, having earned a Master's Degree in Mechanical Engineering from Stanford University, a Doctor of Philosophy (Ph.D.) in Mechanical Engineering from The University of Texas, a Master's Degree in Mathematics from the University of North Texas, and a Bachelor's Degree in Mathematics from the University of Houston. Fred's expertise in both engineering and medicine has enabled him to build bridges between the two fields, fostering meaningful collaboration. In addition to his current position, Fred has held several other leadership roles in the past. He was the Chief Data Scientist at Seirrowon Labs and a Data Science Instructor at UC Berkeley School of Information. In both positions, he led diverse teams in designing, scoping, and building Data Science products that have Impact, Originality, and Value. Fred's Tech Stack includes Research Scientist, Data Scientist, AI, and ML. He is seeking to advise new clients and reduce risk for clients through his expertise in Artificial Intelligence Strategic Planning. Fred's LinkedIn Summary describes him as a Healthcare Data Science leader, building cross-functional teams to bring Engineering technologies to Physicians. He is focused on developing simulation and prediction tools that improve health outcomes, and his work has been dedicated to building bridges between engineering and medicine.