Dr. Tom Scanlon

Biography

Thomas P. Scanlon is a Senior Research Scientist and Technical Manager at the CERT Division of the Software Engineering Institute at Carnegie Mellon University. He leads the CERT Data Science technical program, which incorporates artificial intelligence, machine learning, and statistical analyses to develop solutions for cybersecurity challenges. His research interests include generative AI, large language models (LLMs), cybersecurity, software engineering, threat modeling, human-computer interaction (HCI), and quantum computing. Additionally, Scanlon serves as adjunct faculty at CMU’s Heinz College of Information Systems and Public Policy, where he teaches courses such as Introduction to Cyber Intelligence and Cybersecurity for Artificial Intelligence & Machine Learning and advises students on research projects. Before joining CMU, he worked for over a decade in leadership roles at Fortune 500 companies. Scanlon coauthored the DoD Developer’s Guidebook for Software Assurance, which is part of sponsored research by the Joint Federated Assurance Center (JFAC). He is a frequent speaker at conferences, presenting at events such as the (ISC)² Security Congress and the IEEE International Conference on Big Data. Scanlon has published numerous technical reports and articles at refereed venues, contributing to the advancement of cybersecurity knowledge and practices.

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