Clarence Worrell

Clarence Worrell is a Senior Data Scientist at the CERT® Division of Carnegie Mellon University’s Software Engineering Institute, focusing on data-driven analysis and modeling in cybersecurity. Prior to this role, he applied machine learning, optimization, and probabilistic modeling to challenges in the energy sector.

• Ph.D., Industrial Engineering, University of Pittsburgh (2023)
• M.S., Industrial Engineering, University of Pittsburgh (2017)
• M.S., Fire Protection Engineering, University of Maryland (2002)
• B.S., Fire Protection Engineering, University of Maryland (2001)

His research interests include:

• Artificial Intelligence (AI) and Machine Learning (ML) for security
• Energy and critical infrastructure security
• Intrusion and anomaly detection/prevention
• Risk analysis and management
• Security of AI and ML systems