I am a Professor of Information Systems, Judith Norman Davis and Kim G. Davis Professor of Business Analytics, and Associate Chair of the Department of Operations and Decision Technologies at the Kelley School of Business, Indiana University.
My research sits at the intersection of AI, data analytics, and human behavior, focusing on how algorithmic techniques from computer science and theories from social sciences can address emerging challenges in intelligent systems and personalization technologies. I investigate both the computational and behavioral aspects of these systems, exploring questions about algorithm stability, bias effects on user preferences, impacts of data characteristics on prediction performance, and the longitudinal dynamics of system performance.
My work has contributed novel methodologies for improving algorithm stability, identified how recommender systems can inadvertently manipulate consumer preferences, and developed frameworks for understanding the complex interplay between users, algorithms, and content in digital platforms. I employ diverse research approaches including experimental studies, computational modeling, and agent-based simulations to generate insights that are both theoretically rich and practically relevant.
Through this work, I aim to develop more effective, fair, and transparent decision support technologies that better serve both users and organizations in an increasingly AI-driven world.
