Richard’s immediate interests are in entrepreneurship, technology strategy and emerging markets. His current work examines how resources shape entrepreneurial experimentation, a cornerstone of innovation-or technology-driven startups. His work relies on large archival datasets, applied econometrics and deep learning – especially large language models – to generate theoretical and practical insights about startups.
Previously, he worked in quality control and continuous improvement in the cosmetics development and manufacturing industry, and as a technical research scientist at the National Research Council of Canada. Growing up, he had experience running a small family business and later had experience working on startups.
Richard obtained a BSc with first class honors in Pure and Industrial Chemistry, specializing in industrial chemical technology. He has an MASc in Chemical Engineering from the University of Toronto and an MS in Management from the Smith School of Business, Queen’s University, Canada.
He has served as the departmental doctoral seminar chair at Wharton.