Job Market Paper
"The Professional Costs of Speech Sanctioning Events: Evidence from Academia" with Lorenzo Palladini (American University of Beirut, Cyprus)Case Studies
"Harvard Business School Case 625-048, August 2024 "Managing Science: Perspectives from Postdocs" with Kyle Myers (Harvard Business School), Rem Koning (Harvard Business School), Solène Delecourt (Berkeley Haas), and Katelyn Cranney (Stanford).
Peer-Reviewed Publications
"When Government Shuts Down Science: Evidence from U.S. Antarctic Research" with Christian Helmers (Santa Clara) Research Policy. Media Coverage: Nature
Working Papers
"Measuring the Jagged Technological Frontier: Benchmarking the Future of Work and AI Capabilities" with Jake Prokopets.
"CentaurBench: Benchmarking LLM Assistance on Real-World Work" NBER Working Paper 35663. with Kenny Wongchamcharoen, Min Min Fong, and Abhishek Nagaraj (Berkeley Haas). Submitted.
Summary: Are the large language models that perform best autonomously also the most effective at assisting workers? Across seven economically grounded tasks, we compare models completing work independently with models providing guidance to a fixed lower-capacity worker model. Automation and augmentation rankings differ substantially, and assistance does not consistently improve performance, showing that organizations should evaluate AI models according to the specific roles and tasks in which they will be deployed.
"Does Politics Permeate Science? Evidence from a Field Experiment on Political Bias in Academic Opportunity" with Jessica Khan (Northwest Florida State College). Draft available on request.
Presented at the NBER Investments in Early Career Scientists 2026
"Historical and Modern Legacies of the Centrality Gradient" Justin Cook (Tulane) and Raymond Kim (Westmont College). Submitted.
Summary: Using 873 polities spanning 3400 BCE to 1500 CE on a fixed quarter-degree grid, we estimate a centrality gradient with great-circle distance and human mobility cost, showing cells farther from the center of a historical polity were less densely populated. Cross-sections show this gradient steepens with a cell’s cumulative years under rule, and a within-cell panel identifies it from plausibly exogenous border movements. As evidence of public good provision and accumulation, Roman road density declines with distance holding population fixed. Distance to the historical center still explains where modern capitals sit, but not modern population density or nighttime lights.
"Do Women Ask For Less? The Gender Ask Gap in Science" with Valentina Tartari (Stockholm School of Economics) , H.C. Kongsted (Copenhagen Business School), Astrid Ulv Thomsen (Copenhagen Business School), and Lorenzo Palladini (American University of Beirut, Cyprus). Draft available on request.
Summary: Do gender disparities in scientific funding emerge before proposals are evaluated? Using the universe of approximately 8,600 funded and unfunded applications submitted to two large European science funders, we find that female principal investigators request 5.0–5.4% less funding than comparable male applicants, accounting for approximately 70–80% of the corresponding gap in awarded funding. Smaller requests do not increase the probability of success, suggesting that the gap does not reflect strategic under-requesting. The gap persists in team-based applications, even when female PIs apply with male co-applicants, although mixed-gender teams partially attenuate it. It is concentrated among early-career and first-time applicants and disappears with repeated applications, consistent with learning and information frictions in how researchers calibrate the resources needed to pursue their ideas.
Early Work in Progress
"The Impact of AI on Science: Evidence from an RCT" with Rem Koning (Harvard Business School)
"Tasks in the Age of Automation" with Abhishek Nagaraj (Berkeley Haas) and Isaac Robinson (Mercor)
"When Researchers Self-Censor: Political Pressure and the Direction of Science" sole-authored.