As part of the analytics team of DARC, Brian Chivers creates, transforms, and enhances large datasets to meet the needs of Stanford GSB researchers. He pushes the possibilities of computational research using state-of-the-art machine learning and natural language processing techniques.

Prior to Stanford GSB, Chivers held various software engineering positions, specializing in operational efficiency and site reliability. He has an MS in data science from the University of San Francisco and a BS in computer science and mathematics from Michigan State University.