Sarah H. Bana

Sarah H. Bana

Assistant Professor, Department of Management — Information Systems and Innovation

London School of Economics and Political Science

Digital Fellow, Stanford Digital Economy Lab

I am an Assistant Professor in the Department of Management (Information Systems and Innovation) at the London School of Economics and Political Science and a Digital Fellow at the Stanford Digital Economy Lab.

My research focuses on how AI and digitization reshape the skills and activities of workers and firms. I study algorithmic hiring systems, AI-generated job recommendations, and generative AI’s impact on labor markets.

In the News

New in Management Science

Fighting Fire with Fire: Infusing AI into Peer Review — We propose deploying LLMs as a structured first-line reviewer, with authors responding before human review — decreasing turnaround times and improving decision accuracy. We'll be testing the process at WORTH 2027.

Recent Papers

AI-Exposed Jobs Deteriorated Before ChatGPT Morgan R. Frank, Alireza Javadian Sabet, Lisa Simon, Sarah H. Bana, Renzhe Yu (2025) · Working Paper
Algorithmic Monocultures in Hiring Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel, Dan Jurafsky, Percy Liang (2026) · ACM Conference on Fairness, Accountability, and Transparency (FAccT '26)

View all research →