Corey is a principal architect for vector search, data mining, and classical ML libraries at NVIDIA, where he focuses on building and scaling algorithms to support extreme data loads at light speed. Prior to joining NVIDIA in 2018, Corey spent many years building massive-scale exploratory data science & real-time analytics platforms for big data and HPC environments in the defense industry. Corey holds BS. & MS degrees in Computer Science. He is also completing his Ph.D. in the same discipline, focusing on accelerating algorithms at the intersection of graph and machine learning. Corey has a passion for using data to make better sense of the world.