I am currently a staff scientist in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL). My work spans data mining, machine learning, and cybersecurity. My research focuses on the use of data driven and computational methods to discover and understand anomalous behavior in large-scale networked systems. I apply a hypothesis-driven approach to design and develop statistical methods that detect and adapt to unseen anomalies in critical infrastructures. My research supports a range of applications, including event detection in social media, Internet route hijacking, insider threat behavior in version control systems, and intrusion detection in cyber-physical systems, among others.

My technical leadership includes project leadership evidenced by successfully secured funding through grants and partnerships. My recent work on adaptive anomaly detection in cyber-physical systems received $1.5M from ORNL's Laboratory Directed Research and Development. I led a group of three, including scientists, engineers, and a post-doctoral researcher, to develop adaptive methods for anomaly detection that (1) trigger alarms before damage occurs, (2) filter out faults to focus on attacks, and (3) recover and restore normal system function after an attack. My research has previously been funded by the National Nuclear Security Administration, U.S. Department of Energy Advanced Scientific Computing Research, and Cisco Research, contributing to adaptive, data-driven methods that identify emerging attacks.

My technical contributions reflect my leadership in research, with over 30 publications in leading journals and conferences, including Expert Systems with Applications, Physical Review E (PRE), PLOS ONE, Computer Networks, Nature Scientific Reports, Computers & Security, Journal of Statistical Mechanics: Theory and Experiments, and Europhysics Letters. I have received two best paper awards at top cybersecurity venues: the Fourth ISOC NDSS International Workshop on Automotive and Autonomous Vehicle Security (2022) and the 9th ACM CCS International Workshop on Managing Insider Security Threats (2017). I hold over five invention disclosures, two pending patents, and one granted patent in security analytics. Additionally, I am a senior member of IEEE and ACM and a member of SIAM.