Nigel Guenole

Nigel Guenole is a Reader in Management and Psychology at the Institute of Management Studies (IMS) at Goldsmiths, University of London. He specializes in strategic leadership assessment and people analytics, with extensive experience bridging academic research and practical applications in organizational settings. His work has significantly contributed to the development of HR analytics as a field, particularly in the areas of AI implementation and ethical considerations.

Guenole's research focuses on the intersection of psychometrics, artificial intelligence, and human resources management. His current work explores innovative applications of language embeddings in psychological measurement, causal inference in workforce analytics, and the ethical implications of data-driven decision making in HR. He investigates how organizations can effectively implement analytics while maintaining fairness, privacy, and transparency in increasingly complex global business environments.

His publications reveal a strong trajectory toward integrating advanced computational methods with traditional psychological measurement. Recent work shows increasing emphasis on AI applications in HR, with particular attention to ethical frameworks and cross-cultural considerations. Guenole's research bridges theoretical psychometrics with practical business applications, making significant contributions to both academic literature and industry practice.

• Elected fellow of the American Psychological Association's Division 14 for outstanding contributions to Assessment and HR analytics
• Editor of special issues at Human Resource Management Journal
• Editorial board member of Journal of Occupational and Organizational Psychology
• Editorial board member of International Journal of Selection and Assessment

Guenole previously worked at IBM where he led a team of behavioral scientists working with computer science engineers to ensure early AI applications in Human Resources met stringent behavioral science standards. His industry experience informs his academic work, creating a valuable bridge between research and practice. He co-authored the best-selling analytics book 'The Power of People: Learn how successful organizations use workforce analytics to improve business performance' which has become an important resource in the field.