Overview
Dr. Facelli was born in Buenos Aires, Argentina and attended the University of Buenos Aires where he got his Ph.D in physics in 1982. In 1983 he did post-doctoral research at the University of Arizona and the following year he joined the University of Utah. At the University of Utah he was the Director of the Center for High Performance Computing from 1995 to 2013 and he is currently, Distinguished Professor, Dept. of Biomedical Informatics, and Associate Director for Biomedical Informatics at the Clinical and Translational Science Institute, Adjunct Professor of Nursing, Chemistry and Physics and member of the Utah Nano Science Institute. He served as President of the University of Utah Academic Senate from 2019-20. He has been involved in numerous computing and network related research projects and served in many University and national committees dealing with information technology and computational sciences. He has extensive expertise in computational sciences, parallel and distributed computing and advanced network applications. He is co-author of more than 280 international peer review publications and served as Chair of the Coalition for Scientific Computing (CASC, https://casc.org/) during 2003 and 2004. In 2012 and 2017 he received the Reed Gardener Award on Faculty Excellence from the Department of Biomedical Informatics. He was elected as a Fellow of the American College of Medical Informatics (ACMI) in 2014 and elected a Fellow of the Academy of Science Health Educators in 2017. His current research interests are in advance computing applications in biomedical sciences. His research has been funded by NSF, NIH, DOD and DOE. He served as reviewer for numerous international publications and funding agencies and has participated in advisory panels at NSF and NIH. He taught classes in Physics, Chemistry, Computational Sciences, Telecommunications and Medicine. Dr. Facelli joined the Faculty of the Biostatistics & Bioinformatics, Biostatistics & Bioinformatics, Division of Translational Biomedical, Biostatistics & Bioinformatics at Duke University as an Adjunct Professor in 2026.