Kevin is an R&D Associate in the Data NanoAnalytics (DNA) group residing within the Center for Nanophase Materials (CNMS). He received his B.S. in Food Science from the University of Florida in 2011, Ph.D. in Physics from the University of North Texas in 2018, and completed his post-doc in 2021 at ORNL in the electron microscopy and DNA groups. His research interests include both the discovery of and the control over phenomena in condensed matter physics, in disciplines such as plasmonics. Kevin uses the scanning transmission electron microscope (STEM) not only as an analytical tool to probe the nanoscale and even atomic behavior of materials with advanced techniques (monochromated EELS, 4D STEM), but also as a materials modification platform through interaction with the high energy electron beam. He uses a variety of machine learning techniques to understand the multidimensional datasets that are acquired in both 3D EELS and 4D STEM, allowing a better understanding of the underlying physics in a material system. Recently, Kevin has enabled autonomous experiments within the STEM, where automated active learning takes place through elegant machine learning approaches, allowing structure-property relationships to be learned on-the-fly, ultimately leading to the discovery of physical phenomena in an autonomous fashion.