Dr. Rafael Fricks, Computer Engineer, U.S. Department of Veterans Affairs - National Artificial Intelligence Institute
Rafael Fricks, Ph.D., is a computer engineer at the Department of Veterans Affairs National Artificial Intelligence Institute (NAII). Dr. Fricks leads the AI Tech Sprints, which are 3-month challenges that invite outside teams to prototype AI tools for veterans’ care. Additionally, he researches emerging deep learning technologies in imaging with applications in radiology and digital pathology, and is a contributor to the VA Radiology workgroup to develop a national AI in Radiology strategy.
Prior to joining the NAII in 2020, Dr. Fricks joined the VA as a postdoctoral fellow in 2018 as part of the Big Data Science Training Enhancement Program (BD-STEP), pursuing deep learning research in radiology in collaboration with Duke University and the Carl E. Ravin Laboratories at Duke. He completed his MS and PhD degrees in biomedical engineering at Duke University in 2017 and 2018, respectively, with dissertation work in discrete event simulation of healthcare systems. He received his BS degree in biomedical engineering from the University of Texas at Austin in 2013, with a specialization in imaging and instrumentation.