Research

My research examines how AI changes the organization of work and the production of knowledge.

AI in Strategy and Organizations

What happens when AI takes on organizational roles, such as in communication, coordination, and invention?

The Wade test asks whether generative AI can communicate as a specific CEO, and finds that believing a message is AI-written lowers how helpful people judge it, whatever its true source. Related projects put an AI agent in the managerial role itself, and follow what firms disclose when human inventorship becomes uncertain. Across them the question resolves into three consequences: whether AI can perform the role, whether people accept it there, and how credit and responsibility are allocated once the contributions are hard to separate. Earlier work on CEO social media is the foundation, showing how a technology reshapes the relationship between leaders, audiences, and feedback before AI began occupying the role.

AI in Research and Knowledge Production

How can researchers use AI to expand what research can do while preserving validity, transparency, and reproducibility?

Generalizing event studies with synthetic controls builds credible counterfactuals for strategic events that happen too rarely for conventional designs. Measuring concept content from LLM activations tests whether a model’s internal representations yield valid measures of a construct the researcher defines. Recipes for creativity shows that evaluator design is a first-order choice in iterative generation, not a detail. A methodology project in progress extends the same question to the research process itself, replacing unverifiable AI-use statements with workflows that are modular, traceable, and reviewable.

Selected Work in Progress

Journal Publications

Conference Proceedings

Computer Science

Management