Dr. Michelle Lee

Assistant Professor

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Biography

Michelle Lee is an Assistant Professor in the Smith School of Business at Queen's University, focusing on the intersection of social class and strategic leadership. Her research investigates how the social class background of executives influences their career trajectories, chief executive selection, and pay disparities. Michelle's work has been published in leading academic journals and has garnered media attention, including coverage by the Wall Street Journal. She has received multiple accolades for her teaching excellence, including recognition from the University of Washington and an Outstanding Dissertation Award. Her teaching portfolio includes courses such as Business Corporate Strategy and Contemporary Organization Theory. Prior to her academic career, Michelle worked with Deloitte and Mazars in New York City. She holds a PhD in Strategic Management from the University of Washington and a Bachelor’s degree in Accounting from Binghamton University, where she graduated with honors. Her academic interests include governance, leadership, diversity management, and corporate social responsibility.

Research Interests

Experience

Assistant Professor

2021-01-01 — Present

Smith School of Business, Queen's University • Kingston, ON, Canada

Teaching and researching in areas of strategy and organizations with a focus on social class influences in corporate settings.

Awards

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Alvah H. Chapman Jr. Outstanding Dissertation Award

2022-01-01
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Excellence in Teaching Award

Requirements for Queen's University

Master Program
Requirements
GPA Requirement
Required:3.3
TOEFL
Listening
Required:20
Reading
Required:22
Writing
Required:24
Speaking
Required:22
Total
Required:88
IELTS
Overall
Required:7
Prerequisites
Honours Bachelor degree Background in Computing, Mathematics, Statistics, or Engineering
Application Checklist
  • Online application
  • Statement of Research Interest
  • Curriculum Vitae
  • Two academic references
  • Transcripts
Specialization Notes

Department of Computing offers research-based, project-based, and course-based patterns.