R. W. R. Darling – Statistics & Machine Learning Research, National Security Agency
John Emanuello – Laboratory for Advanced Cybersecurity Research, National Security Agency
Emilie Purvine – Mathematics of Data Science, Pacific Northwest National Laboratory
Ahmad Ridley – Laboratory for Advanced Cybersecurity Research, National Security Agency
Tegan Emerson, Pacific Northwest National Laboratory
John Healy, Tutte Institute for Mathematics and Computing
Henry Kvinge, Pacific Northwest National Laboratory
Justin Mauger, Naval Information Warfare Center Pacific
Leland McInnes, Tutte Institute for Mathematics and Computing
Washington Mio, Florida State University
Tom Needham, Florida State University
Michael Robinson, American University
Robert Ghrist, University of Pennsylvania
Rick Jardine, University Western Ontario
Cliff Joslyn, Pacific Northwest National Laboratory
Brett Jefferson, Pacific Northwest National Laboratory
Bei Wang, University of Utah
Dmitriy Morozov, Lawrence Berkley National Lab
Dr. R. W. R. Darling is a member of the Statistics and Machine Learning Research division of the National Security Agency, which he joined after a 15-year academic career. His current efforts are in the development of scalable decision algorithms for large, labelled graphs, and in building tunable stochastic models for complex networks.
Dr. John A. Emanuello is a Researcher at the National Security Agency’s Laboratory for Advanced Cybersecurity Research. He earned a Ph.D. in Pure Mathematics from Florida State University in 2015, with a concentration in Complex Analysis. Since joining the NSA, his research interests have shifted towards the intersection of mathematics, AI/ML, and cybersecurity. He has also directed research initiatives in this space.
Dr. Emilie Purvine is a mathematician and data scientist at Pacific Northwest National Laboratory in the Mathematics of Data Science team under the Computing and Analytics Division of the National Security Directorate. She received a Ph.D. in pure mathematics from Rutgers University in 2011 with an emphasis on combinatorics and recurrence relations. Since 2013 her research has focused more on graphs, hypergraphs, and topological data analysis and their application to study data in a variety of domains including computational biology and chemistry, cybersecurity, natural language processing, and knowledge modeling.
Dr. Ahmad Ridley is a researcher at the National Security Agency in the Laboratory for Advanced Cybersecurity Research. He received a Ph.D. in applied mathematics from the University of Maryland-College Park. His research focuses on reinforcement learning for autonomous cyber defense to improve the cyber-resiliency of networks.