Dr. Kevin R. Dixon is the Director of the Applied Information Sciences (AIS) center at Sandia National Laboratories in Albuquerque, New Mexico. The Center is dedicated to the research and application of innovative techniques for high-impact National Security decision making. We transform decision making by integrating competencies in artificial intelligence, computational analytics, human systems, cyber threat hunting, machine learning, optimization, real-world data fusion, discrete-event simulation, and statistical sciences. We are laser-focused on five core capability areas: Patterns of Life, Cyber Analytics, Human Performance Research, Information Integrity, and Statistical Sciences. Our teams work closely to bring these core capabilities to bear on some of the hardest security issues facing the Nation today. Our team conducts fundamental research in these areas, collaborating with academic, industry, and Laboratory partners, and bridges this research into applications across all areas of National Security.
Prior to this role, Kevin was the Senior Manager of the Mission Analytics Group providing data science, analytics, and machine-learning support across all of Sandia’s National Security missions.
From 2012-2016, Kevin was the manager of the Special Analytic Initiatives department at Sandia National Laboratories, where his department conducted research into high-speed data analysis, big data analytics, and cyber vulnerability assessments for various US Government customers.
From 2004-2012, Kevin was technical staff at Sandia National Laboratories, leading projects in large-scale behavior-based discovery of malicious activity, cybersecurity, autonomous vehicles, insider-threat detection, and long-range uncooperative biometric identification.
Kevin previously held positions at ABB Corporate Research in Västerås, Sweden and the startup company Advanced Navigation & Positioning Corporation in Hood River, Oregon.
Kevin is the co-author of the Cognitive Foundry open-source machine-learning library (https://github.com/algorithmfoundry), used across Sandia and externally by organizations such as Netflix for movie recommendations and IBM Watson. Kevin has over 40 scholarly publications, 2 best-paper awards, over 10 classified publications, 4 patents, and 1 classified inventor award. Kevin received his PhD in Electrical & Computer Engineering from Carnegie Mellon University for his work in statistical machine-learning theory and robotics.
