Chris Lightsey is a Research Engineer at the High-Performance Computing Collaboratory (HPCC), where he works with large social media datasets for proprietary projects. Chris has been involved in projects focusing on data visualization, machine learning, supercomputing, natural language processing, open-source intelligence, and computer security. He is currently working on machine learning applications to analyze publicly available data with a focus on social media and news analytics. He has worked on projects funded by the Department of Energy, the Department of Defense, and the U.S. Army Engineer Research and Development Center. Chris Lightsey joined CCI in 2016 as a Research Engineer. He holds a B.S. degree in computer science from Mississippi State University.
Contribution to Project: His expertise in working with large volumes of social media data and data science applications will also greatly aid us in developing COPE-ID VAT.