Tara Radvand

Welcome! I’m Tara, a 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 Izak Duenyas and Professor Stephen Leider.

I am interested in thinking about co-thinking and co-creation: the operations of innovation teams, AI-mediated idea generation, AI-mediated workplaces, and the regulation of AI use. I study both the mechanisms needed to govern AI-mediated interactions and the behavioral aspects (including biases) of how agents learn from technological assistance and feedback and from one another, coordinate, and shape (collective) outcomes. I then develop managerial insights into 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.

Residency

I am a U.S. Permanent Resident (Green Card holder).