Research areas
Strategy, organizations & statistics
I study how firms compete as they pursue inventions after technological breakthroughs, and how information and interdependence shape collective outcomes.
Innovation and competitive search
My management dissertation, Competing in Inventive Space: Innovation Search, Generative Inventions, and Technological Rivalry, develops two connected accounts of competition in inventive search. Search incursion explains movement toward inventive areas associated with other firms. Competitive shaping search examines how the first firm to build on a breakthrough can influence the paths available to firms that follow.
Generative Inventions and Search IncursionsOrganization theory and AI collectives
With Michael W. Macy, I examine spontaneous coordination and common knowledge in groups of AI agents. The research studies the relationship among what agents know, what they expect others to do, and whether their independent choices produce a successful collective outcome.
Coordination in AI collectivesStatistical methods
My statistics research, advised by Martin T. Wells, develops methods in explainable AI, causal machine learning, and natural language processing. Applications include the influence of individual trades on model forecasts and the inheritance of language across constitutions.
Statistics, finance and law