Profile
Nash started his career in cybersecurity at a young age. He was recruited in high school to work for the National Security Agency (NSA), where he began his career building and operating big data systems at the intersection of machine learning and human intuition under the pressure of intelligence operations and international crises, where he served in war zones multiple times. Nash earned his Ph.D. in Electrical and Computer Engineering from The Johns Hopkins University, focusing on machine learning (ML) and anomaly detection, and is currently enrolled in Wharton’s CTO Program. He has filed multiple patents, most recently for Secureworks’ ML-based Hands-on-Keyboard detector, which finds threat actors that are “living off the land” using system administration tools that may go unnoticed by other endpoint technologies.