Endowed Professor
University of Utah - Craig H. Neilsen Rehabilitation Hospital
Dr. Jacob A. George is the Solzbacher-Chen Endowed Professor in the Department of Electrical & Computer Engineering and the Department of Physical Medicine & Rehabilitation at the University of Utah. He is also a foundational researcher for the Craig H. Neilsen Rehabilitation Hospital and the director of the Utah NeuroRobotics Lab.
Dr. George has been an author on numerous peer-reviewed manuscripts and conference abstracts (Google Scholar). As of 2025, he has also received over $7.4 million in research funding to date. Notable accomplishments include: the Don B. Olsen Graduate Fellowship, NSF Graduate Fellowship, NIH Postdoctoral Fellowship, CCTS Outstanding Postdoc Award, Ripple Neuro Promising Young Investigator Finalist, ECE Rising Star Award, ECE Teaching Award, College of Engineering Teaching Award, Outstanding Undergraduate Research Mentor Award, University Early Career Teaching Award, Meta Distinguished Faculty Award, Utah “Innovator of the Year” Award, and the NIH Director’s Early Independence Award. Dr. George's research has been proven to be high-impact; For example, his 2019 publication in Science Robotics resulted in over 398 unique news articles, 450.4 million views, and $4.5 million in advertising for the University of Utah. Dr. George has also been featured in numerous additional high-profile media outlets, including Forbes 30 under 30.
Dr. George is also a passionate entrepreneur with a record of translating his lab's scientific discoveries into viable commercial products. His lab maintains active collaborations with dozens of industry partners in the fields of neurotechnology, prosthetics and orthotics, adaptive technology, smart-home systems, and virtual/augmented reality. Dr. George is the inventor on several patents, has licensed his lab's technology to his industry partners, and has founded several of his own companies. He also serves as a consultant, advisor, and scientific officer for various companies in the fields of health tech, wearables, robotics, and data science and machine learning broadly.