Tara Radvand
Ph.D. Candidate in Technology and Operations, Ross School of Business, University of Michigan
Ann Arbor, MI, USA
Welcome! I’m Tara, a third-year Ph.D. candidate in Technology and Operations at the University of Michigan, Ross School of Business. I am fortunate to be advised by (listed alphabetically) Professor Stephen Leider and Professor Mohamed Mostagir.
I am interested in thinking about (co-)thinking: the operations of innovation teams, online idea-generation platforms, AI-mediated workplace, and the regulation of AI use. My research accounts for the behavioral aspects (including biases) of how agents learn from one another, coordinate, and shape (collective) outcomes. I then develop managerial insights on how organizational structure, team design, and online platform moderation can improve the management of these teams and interactions to enhance welfare.
While studying at Ross, I am also pursuing an M.S. in Statistics. Before joining Ross, I started an M.Sc. in Industrial and Operations Engineering at the University of Michigan. Prior to that, I earned an M.Sc. in Transportation Engineering from Purdue University and a B.Sc. in Civil and Environmental Engineering from Sharif University of Technology.
In my research before joining Ross, I focused on studying the impacts of new transportation technologies, such as connected and automated vehicles and ridesharing services, on urban mobility, and provided methods for optimizing system performance.
Keywords: Social Operations, Information Platforms, Organizational Structure, Collaboration, Social Learning, Bayesian Learning, Stochastic Modeling, Game Theory, Information Design.
Residency
I am a U.S. Permanent Resident (Green Card holder).
selected publications
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Collaborative Disagreement
Presentations
Eleventh Marketplace Innovation Workshop (MIW), 2026.
Revenue Management and Pricing (RMP) Conference, Michigan Ross, 2026.Work in progress -
A Training-free Method for LLM Text AttributionPrevious title: Zero-shot Statistical Tests for LLM-Generated Text Detection using Finite Sample Concentration Inequalities.
Awards
Award: Empowering Research with AI Award 2026 (1,000), AI Institutes at Michigan (AIIM).
Award: Best Presentation Award at MSSISS 2025.
Grant: Ross Doctoral Grant for experiment extension (4,000).Presentations
MSOM SIG-Day - Technology, Innovation, and Entrepreneurship (TIE), Harvard Business School, 2026.
Revenue Management and Pricing (RMP) Conference, Michigan Ross, 2026.
Revenue Management and Pricing (RMP) Conference, Columbia University, 2025.
MSSISS Conference [Invited], University of Michigan, 2025.Working paper