Applied XL
Erin Riglin is an engineer and computational journalist. He was the Wall Street Journal's first Automation Editor where he built machine learning-driven tools to support research and investigative journalism. Prior to that, he worked at Microsoft on data automation and cloud computing projects. Erin holds a Bachelor's degree in Computer and Electrical Engineering from California Polytechnic University, Pomona, and Master's degrees in Journalism and Computer Science from Columbia University.
Applied XL
Applied XL develops event detection systems powered by machine learning and editorial algorithms to find early signals before they become news.