Clarence Worrell

Clarence Worrell is a Senior Cybersecurity Data Scientist in the CERT® division of Carnegie Mellon University’s Software Engineering Institute. He contributes to broad cybersecurity topic areas including network flow analysis, advanced persistent threats, and critical infrastructure. Prior to joining CERT®, he developed applications of machine learning, optimization, and simulation for the energy sector. Clarence earned his PhD from the University of Pittsburgh for research into algorithms for spatial variations of three NP-hard optimization problems: machine assignment, graph partitioning, and k-center.