Professor Daniel Osei
Professor Daniel Osei is known for pioneering research on cognitive error detection in financial analytics, with a focus on quantitative bias analysis. He has published extensively in peer-reviewed journals and leads several multi-institutional collaborations on applied finance.
Professor Osei’s industry consulting spans financial services, insurance, and tech, where he translates complex analytics into actionable frameworks for clients and policy groups. His reputation is built on rigorous methodology and the ability to make quantitative models accessible to non-specialist teams.