Hi, I am a Ph.D. candidate in Information Systems at the McCombs School of Business, The University of Texas at Austin, where I am fortunate to be advised by Professor Ashish Agarwal. 

My research examines how generative AI reshapes human work, with a focus on teamwork, problem solving, and emotional well-being. As AI systems increasingly participate in knowledge work, they influence not only how tasks are completed but also how people collaborate, solve complex problems, and experience work. My goal is to identify the conditions under which AI enhances human capabilities and when it introduces new challenges.

I study generative AI across three interconnected roles in human work:

Together, these projects form an integrated research agenda that examines generative AI across progressively deeper levels of engagement with humans—from serving as a tool that supports human teams, to acting as a virtual teammate that participates in problem solving, to providing support for human emotional experiences.

Beyond team-level dynamics, I also study the broader organizational impact of emerging technologies. I examine how generative AI models influence employee performance and how firms adapt their training programs and workforce skill development in response to these technologies. In addition, I investigate how advances in AI capabilities affect operational outcomes such as supply chain dynamics. I also study broader questions related to the future of work, such as how organizational policies like remote work adoption influence firm performance.

Methodologically, I combine large-scale econometric analysis with randomized experiments to study how human–AI interaction shapes outcomes for individuals, teams, and organizations. My research benefits from collaborations with organizations such as GitHub and KPMG, enabling the analysis of AI adoption in real-world environments.