Leo Alexander

Leo Alexander, III is an Assistant Professor holding dual appointments in the School of Labor and Employment Relations and the Psychology department at the University of Illinois. His research focuses on innovative applications of machine learning to personnel selection, mental health at work, and personality assessment. He explores subgroup differences in hiring practices and develops game-based assessment tools for measuring personality facets. Alexander's work bridges organizational psychology with cutting-edge technologies to address fairness and equity in employment contexts.

His recent publications (2020-2025) highlight trends in algorithmic recruitment fairness, workplace health interventions, and leveraging big data for personality research. Key themes include reducing bias in hiring algorithms, optimizing employee well-being programs, and advancing psychometric methods through machine learning.

No scientific awards or advisory roles are explicitly mentioned in the profile. His research collaborations span disciplines like industrial-organizational psychology and computer science, reflecting his interdisciplinary approach to solving modern workforce challenges.