About me
I’m an economist interested in how AI changes the work people do, how firms organize that work, and what those changes mean for labor markets.
I’m a Research Fellow at Cohere Labs and a Research Affiliate at the MIT Initiative on the Digital Economy. My research combines field experiments, causal inference, and large-scale labor market and behavioral data. I focus on how to measure changes in tasks, workflows, and skills and how to connect that evidence to decisions by organizations and policymakers.
Previously, I was an economist at Revelio Labs, where I studied workforce trends and AI adoption using job postings, professional profiles, and employee sentiment data. My work included public research and analyses for clients on technological change and workforce strategy.
I earned my PhD in Information Systems, with a concentration in economics, at MIT in 2024. My dissertation examined the economics of artificial intelligence and the future of knowledge work. Before and during my doctoral training, I held research roles at Stanford Graduate School of Business and Glassdoor. I also hold a BS in Computer Science from Duke University.
Research interests
AI adoption and changes in tasks, workflows, and skills
Human–AI collaboration, productivity, and knowledge work
Economic measurement and labor market outcomes
Background
Research Fellow, Cohere Labs · 2026–present
Economist, Revelio Labs · 2024–2026
PhD, Information Systems (Economics Concentration), MIT · 2024
BS, Computer Science, Duke University · 2015
Affiliations
Research Affiliate, MIT Initiative on the Digital Economy
NABE Scholar, 2025–2026
