Philip Tully is a Data Scientist at FireEye who applies natural language processing and computer vision in order to detect fraud, platform abuse, and security threats. He earned his joint doctorate degree in computer science from the Royal Institute of Technology and the University of Edinburgh. His research concerning the intersection of artificial intelligence and cyber security has been presented at Black Hat, RSA, DEF CON, and a NeurIPS workshop, and it's been covered by The New York Times, BBC, TechCrunch, CNN, KrebsOnSecurity, and more. He's a hackademic that's interested in applying brain-inspired algorithms to both blue and red team operations.