Matthew Corritore

Matthew Corritore is a mixed methods researcher specialising in computational social science, people analytics, and natural language processing who was trained in a dynamic computational social science lab at the Stanford Graduate School of Business. Matthew works with teams and organisations to solve important and difficult problems, and his research has strong practical implications. For example, he partnered with Glassdoor to develop novel corporate culture measures using natural language processing (NLP) methods. This research on cultural diversity’s impact on organisational performance has attracted notable attention from human resource professionals and the popular business press. His research is supported by the Social Sciences and Humanities Research Council of Canada, and has been published in Administrative Science Quarterly (a leading management journal), and featured in Forbes, the Harvard Business Review, BBC.com, the Glassdoor Economic Research Blog, Insights by Stanford Business, and on CBC Radio.