Andrei Gribok is a Distinguished Research Scientist in Instrumentation, Controls, and Data Science Department. He received his doctorate in mathematical physics from Moscow Institute of Biological Physics in 1996 and his bachelor of science and master of science degrees in systems science/nuclear engineering from Moscow Institute of Physics and Engineering in 1987. Gribok worked as an instrumentation and control researcher at the Institute of Physics and Power Engineering, Russia where he conducted research on advanced data driven algorithms for fault detection and prognostics for fast breeder reactors. He also worked as an invited research scientist at Cadarache Nuclear Research Center, France, where his research focus was on ultrasonic visualization systems for liquid metal reactors. Gribok holds position of research associate Ppofessor with Department of Nuclear Engineering, University of Tennessee, Knoxville.

From 2005 until 2015 Gribok was employed as a research scientist with Telemedicine and Advanced Technology Research Center of the U.S. Army Medical Research and Materiel Command, USDA, and USARIEM. His research interests included military operational medicine and telemedicine for combat casualty care missions.

Gribok was a member of a number of international programs including IAEA coordinated research program on acoustical signal processing for the detection of sodium boiling or sodium-water reaction in liquid metal cooled reactors and large-scale experiments on acoustical water-in-sodium leak detection in liquid metal fast breeder reactors. Gribok is an author and co-author of three book chapters, over 40 journal peer-reviewed papers and numerous peer-reviewed conference papers. He is also a co-author of the book "Optimization Techniques in Computer Vision: Ill-Posed Problems and Regularization " Springer, 2016