Tara Radvand

Ph.D. Candidate in Technology and Operations, Ross School of Business, University of Michigan

profile_tara.png

Ann Arbor, MI, USA

tararad@umich.edu

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

  1. Collaborative Disagreement
    Tara Radvand, Mohamed Mostagir, and James Siderius
    PresentationsEleventh Marketplace Innovation Workshop (MIW), 2026.
    Revenue Management and Pricing (RMP) Conference, Michigan Ross, 2026.
    Work in progress
  2. A Training-free Method for LLM Text Attribution
    Tara Radvand, Mojtaba Abdolmaleki, Mohamed Mostagir, and Ambuj Tewari
    Previous title: Zero-shot Statistical Tests for LLM-Generated Text Detection using Finite Sample Concentration Inequalities.
    AwardsAward: 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).
    MediaMichigan News
    Ross News
    Paris Women in Machine Learning and Data Science Weekly Captures
    PresentationsMSOM 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