Clarence Worrell

Clarence Worrell is a senior data scientist in the CERT® division of Carnegie Mellon University’s Software Engineering Institute. Worrell researches data-driven analysis and modeling in cybersecurity. Prior to joining CERT®, he developed applications of machine learning, optimization, and probabilistic modeling for the energy sector. Worrell earned his Ph.D. in industrial engineering from the University of Pittsburgh, and his doctoral research surrounded algorithms for spatial variations of classic NP-hard optimization problems.