He earned his PhD from the University of Connecticut in 2018. His research is primarily in the areas of Organizational Behavior and Human Resource Management. Wolfson’s dissertation focused on understanding and enhancing the quality of team composition and team processes by adopting a dynamic network approach in a surgical team setting. Primarily his research focuses on advancing configural approaches of team composition that account for individuals’ characteristics and interrelations among team members. More generally, his research interests include team composition, informal learning, multilevel modeling, network analysis, and unobtrusive measurement. Mikhail’s work has been featured in leading peer-reviewed academic journals, including the Journal of Applied Psychology and American Psychologist.