Background
Chad joined Technology Integration in January 2022 as and HPC Systems Scientist. Chad’s research focuses on using feedback-directed application guidance to optimize data placement on heterogeneous memory systems. By using application profiles to guide runtime systems, Chad’s research aims to give insights into how applications allocate and use data, in order to maximize the performance of modern memory architectures.
Before earning his Ph.D. in Computer Science from the University of Tennessee in 2020, Chad obtained an M.Sc. in Cybersecurity in 2019, and a B.Sc. in Computer Science in 2014, both from the University of Tennessee. While studying as an undergraduate student, he did research for the Biochemistry & Cellular and Molecular Biology department. Prior to joining NCCS, Chad worked as a post-doctoral researcher in the Molecular Biophysics group in the Biosciences Division at ORNL. His work there primarily focused on functional protein annotation tools and a trans-genomic CRISPR tool pipeline.
