I'm an economist and Principal Researcher in the Economics and Computation group at Microsoft Research, where I lead research on how AI is reshaping jobs, organizations and the economy. I pair rigorous causal analysis with new data on how people and firms actually use AI. We study which tasks and skills are changing, how workplaces are adapting, and what this means for workers, managers and business leaders. Before this I led EconML, Microsoft's open-source library for causal machine learning. My broader research is in labor and personnel economics, with a focus on worker skill development, career transitions and the economic effects of new technology. I also study innovative methods for causal estimation.
I received my bachelor’s degree in economics from Columbia University and my Ph.D. in economics from the University of Michigan. Prior to joining Microsoft, I was an assistant professor at Arizona State University and visited at Harvard Business School and Amherst College.
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