Philip Tully is a Senior Data Scientist at ZeroFOX, a social media security company based in Baltimore. He employs natural language processing and computer vision techniques in order to develop predictive models for combating threats emanating from social media. His pivot into the realm of infosec is recent, but his experience in machine learning and artificial neural networks is not. Rather than learning patterns within text and image data, his previous work focused on learning patterns of spikes in large-scale recurrently connected neural circuit models. He is an all-but-defended computer science PhD student, in the final stages of completing a joint degree at the Royal Institute of Technology (KTH) and the University of Edinburgh.
Twitter: @phtully
Weaponizing Data Science for Social Engineering: Automated E2E Spear Phishing on Twitter