I study how individual and organizational factors shape which ideas advance. My work examines how expertise, power, and decision authority influence whose judgments carry weight, when, and why. I am also interested in how AI changes these dynamics by redistributing expertise, influence, and decision-making within teams and organizations.

• expertise and authority

• power and influence

• human-AI teams

I study how decision-makers evaluate and select among alternatives. This work examines how people make judgments under uncertainty, how they search among alternatives, and how these processes shape which ideas advance. I am particularly interested in how emerging AI tools change evaluation processes and can expand evaluative capacity while preserving human judgment.

• evaluation and selection

• search and cognitive effort

• human-AI evaluative capacity

I study what happens after design and innovation decisions are made, including how decisions are documented, communicated, and justified. This work examines design rationale, AI disclosure, and organizational transparency, asking what information about a decision should be visible, to whom, and when. The goal is to understand how organizations can support accountability and learning, particularly as AI introduces new questions about authorship and responsibility.

• design rationale and documentation

• transparency and accountability

• design artifacts