John Mancini leads the product management of machine learning-based threat detection algorithms at Vectra. He is a product-driven technologist with extensive experience research, development and design of software backed by machine learning and AI.

Previously, John held the position of lead data scientist and received a patent for an improved method, system, and computer program product for identifying malicious payload exchanges which may be associated with payload injection or root-kit magic key usage.

John earned his Ph.D in computational chemistry from Emory University and is an Emory University Quayle Fellow for his significant achievements in research.