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Using his expertise in architecting highly reliable systems, Mario works with SEI customers to solve real-world problems. He applies research with a pragmatic approach to help organizations improve their software evolution.

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Phil is a software architecture practitioner with more than 20 years of experience designing and evaluating systems. He translates complex requirements into scalable architectures and guides technical decisions. His work centers on hands-on application of SEI approaches for customers.

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The Technical Manager of the SEI’s Enterprise Threat and Vulnerability Management team, Dan Costa leads the research of the Insider Risk and Applied Network Defense team and has extensive experience evaluating insider threat and cybersecurity programs, assessing organizations’ vulnerabilities, developing and evaluating technical and administrative controls, and building insider threat programs.

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The technical lead for the Enterprise Threat and Vulnerability Management's Insider Risk Team, Bob leads insider risk program and vulnerability assessments and provides insider risk program implementation and insider risk analyst training. He has over 25 years' experience in various testing, developing, and leadership roles in the telecommunication industry.

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With extensive experience helping software development organizations meet their goals by applying architecture practices, John works with government and industry organizations to develop, improve, and modernize their software systems to deliver mission and business value.

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Having conducted research in cybersecurity since 1998, José’s current focus is on behavior-based malware analysis and detection, suspicion assessment theory and implementation, mobile malware, and malware distribution networks. He has extensive experience in building dynamic analysis systems for executable programs on various platforms.

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With experience in cybersecurity, enterprise threat management, and workforce development, Luke researches using dynamic network analysis along with computational and agent-based modeling techniques to study organizational resilience, insider risk, and social-cybersecurity. He has taught at the University of Pittsburgh and Penn State New Kensington.

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A cybersecurity researcher and expert in helping client organizations manage their most challenging IT security risks, Sam focuses his research on incident management team development, applied cognitive and statistical models, and blockchain technologies. Currently teaching CMU graduate and undergraduate classes, he previously worked in the private sector and was a graduate faculty member at the Florida Institute of Technology.

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With experience lecturing on formal methods, Pat has also worked on requirements elicitation, real-time distributed systems communication, domain-specific software architectures, systems based on commercial-off-the shelf products, systems of systems, and use of service-oriented architecture. His recent work explores Agile and Lean development approaches to improve software acquisition practices.

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Tim is an expert in broad-scale security with a focus on empirical studies and network traffic data analysis. An experienced instructor who previously taught at multiple universities and corporations, Tim’s teaching and research interests focus on situational awareness of large network activity.

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David has taught secure coding in C, C++, and Java to military, government, and banking groups throughout the world. Having presented security-related topics at such conferences as IEEE SecDev and JavaOne, David has also co-authored or contributed to several books, including The SEI CERT C Coding Standard and The CERT Oracle Secure Coding Standard for Java.

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Matt’s research focuses on applying machine learning methods to help Department of War clients address a range of challenges in cyber security, operations, training, and education. Matt has also developed system safety methods to provide assurances about AI-enabled capabilities.

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An experienced technical researcher, Carol has helped government agencies as well as higher education and medical organizations build capabilities and competencies in cybersecurity and software assurance for highly complex software-reliant systems. Her research focuses on meeting the challenges of cybersecurity in acquisition, system, and software engineering.

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Clarence researches data-driven analysis and modeling in cybersecurity. With previous experience developing applications of machine learning, optimization, and probabilistic modeling for the energy sector, Clarence has a doctoral degree in industrial engineering from the University of Pittsburgh, where his research focused on algorithms for spatial variations of classic NP-hard optimization problems.

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A senior engineer and initiative lead of the SEI’s DevSecOps Innovations team, Joseph is an adjunct professor for CMU’s Executive & Professional Education in the School of Computer Science. A frequent presenter, author, and participant in DevSecOps events and conferences throughout the world, Joseph’s current work analyzes and improves the DevSecOps at organizations working with the SEI.

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