Data-Driven Science Blair Sullivan

Associate Professor, Computer Science

image of blair sullivan

Contact Information

Engineering Building II (EB2) 3295
Raleigh, NC
P: 919-513-0453

Blair D. Sullivan joined NC State in August 2013 as a Chancellor’s Faculty Excellence Program (CFEP) cluster hire in Data-Driven Science (DDS). She is an associate professor in the Department of Computer Science and holds a joint faculty appointment with Oak Ridge National Laboratory (ORNL). Sullivan is known for her work characterizing and leveraging relationships between local structure and global phenomena in graph theory and network science. Her research combines expertise in structural graph theory, efficient algorithms and generative models to enable scalable analysis of complex networks. Her current research focuses on improving the understanding of intermediate-scale network structure and using it to develop new practical (parameterized) algorithms for rigorous, robust characterization, comparison, anomaly detection and feature approximation in real-world graph data. Sullivan’s work is highly interdisciplinary, and she has active collaborations in cybersecurity, computational neuroscience, quantum computing, biomechanical engineering and social networks. At NC State, she has served as co-principal investigator (PI) (with Alyson Wilson in the DDS cluster) on a grant from the Research Innovation Seed Fund that brings together faculty from five departments and three CFEP clusters (Data-Driven SciencePersonalized Medicine and the Digital Transformation of Education).

Sullivan received her Ph.D. in mathematics from Princeton University as a Department of Homeland Security Graduate Fellow, and earned bachelor of science degrees in applied mathematics and computer science from the Georgia Institute of Technology. Previously, she was a research scientist in the Computer Science and Mathematics Division at ORNL. Sullivan was named one of 14 Moore Investigators in Data-Driven Discovery (a five-year, $1.5 million award), and has been recognized as a National Consortium for Data Science Data Fellow. She has received more than $2.5 million in additional funding as a PI to support her work on scalable graph algorithms, including grants from Department of Energy and the Defense Advanced Research Projects Agency GRAPHS program. Sullivan has served on numerous organizing committees for Society for Industrial and Applied Mathematics conferences, and plays an active role in activities at the National Science Foundation’s Mathematics Institutes (including Statistical and Applied Mathematical Sciences Institute, Institute for Computational and Experimental Research in Mathematics, Institute for Mathematics and its Applications, and the Mathematical Biosciences Institute).