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Tatsiana Levina is an Associate Professor at the Smith School of Business, Queen's University, specializing in Management Science. Her current research focuses on algorithmic learning methods, revenue management, and dynamic pricing, particularly in the context of online learning algorithms and stock market portfolio rebalancing. She has authored and co-authored numerous papers in prestigious journals, such as Operations Research and Operations Research Letters, and presented at many national and international conferences. Levina has published a book chapter on online methods for portfolio selection, showcasing her expertise in the field. She holds a PhD in Management from Rutgers University, completed in 2004, along with an MBA. Her academic career includes various positions, starting as a Teaching Assistant and Research Assistant at Rutgers University, and transitioning through various faculty roles at Queen's University. Beyond her teaching responsibilities, Levina actively supervises and mentors graduate students in the Management Science program, contributing to their academic and professional development.
Smith School of Business, Queen’s University • Kingston, ON, Canada
Tenured position focusing on Management Science.
Smith School of Business, Queen’s University • Kingston, ON, Canada
Tenure-track position teaching Management Science.
Department of Management Science and Information Systems, Rutgers University • New Brunswick, NJ, USA
Adjunct appointment in Management Science.
Department of Computing offers research-based, project-based, and course-based patterns.