In 2014, Josh Arnold earned his PhD in Environmental Engineering from Vanderbilt University, focusing on efficient numerical solution of partial differential equations arising in geochemistry and on image segmentation algorithms for backscattered electron micrographs of highly heterogeneous materials. He extensively utilized machine learning techniques during his post-doctoral appointment to the National Institute of Standards and Technology from 2014 to 2016. In 2016, he transitioned to a full-time career in data, attending the Data Incubator in Washington, D.C.From 2016 to 2017, Dr. Arnold served as the big data and machine learning expert consultant for Vanderbilt University's high-performance computing facility ACCRE. Upon joining the University of Tennessee's Joint Institute for Computational Sciences at ORNL in 2017, he served as Data Engineer and Scientist for ORNL's cooperative efforts with the Department of Veterans Affairs (VA) and with the Centers for Medicare and Medicaid Services Center for Program Integrity (CMS-CPI). A full machine learning application engineer at ORNL since December of 2019, Dr. Arnold continues to serve as lead data scientist for the CMS-CPI project.
Last Updated: February 25, 2021 - 12:25 pm