Thanks for stopping by! I am a quantitative social scientist, currently working as the director of Normsy Labs. I'm also a research fellow and former postdoc at CSMAP (NYU's Center for Social Media, AI, and Politics). I received my PhD and MA in Political Science from Columbia University, and my BS in Economics from Brigham Young University.

Democracy, industry, and civil society have all been reshaped by the rapid adoption of artificial intelligence and new media sources. My research seeks both to explain how AI, content creators, and content consumers endogenously affect one another, as well as test interventions that can nudge these evolving technologies towards prosocial outcomes. I conduct research at the intersection of academia and policy, focused on methods that integrate large-scale observational data, field experiments, and large language models.

I specialize in experimental design and causal inference, with projects ranging from small experiments on UX with AI and Reddit, to large-scale field experiments testing ranking algorithms and billboards. I am also trained in political economy, and use theoretical models to help explain and interpret my experimental findings.