An algorithmic approach to reducing unexplained pain disparities in underserved populations

“An algorithmic approach to reducing unexplained pain disparities in underserved populations,” with Emma Pierson, David M. Cutler, Jure Leskovec and Ziad Obermeyer, in Nature Medicine volume 27, pages 136–140 (2021)

Quantifying the Causal Effects of Conversational Tendencies

“Quantifying the Causal Effects of Conversational Tendencies,” with Justine Zhang and Cristian Danescu-Niculescu-Mizil, Proceedings of ACM CSCW, 2020.

Allocation of COVID-19 Relief Funding to Disproportionately Black Counties

“Allocation of COVID-19 Relief Funding to Disproportionately Black Counties”, with Pragya Kakani, Amitabh Chandra and Ziad Obermeyer. Journal of American Medical Association, August 2020.

Algorithms as discrimination detectors

“Algorithms as discrimination detectors.” with Jon Kleinberg, Jens Ludwig, and Cass R. Sunstein. Proceedings of the National Academy of Sciences July 28 (2020).

An Economic Perspective on Algorithmic Fairness

“An Economic Perspective on Algorithmic Fairness“. with Ashesh Rambachan, Jon Kleinberg and Jens Ludwig, in AEA Papers and Proceedings (Vol. 110, pp. 91-95). [nonrefereed]

Scarcity and Cognitive Function around Payday

“Scarcity and Cognitive Function around Payday: A Conceptual and Empirical Analysis,” with Anandi Mani, Eldar Shafir, and Jiaying Zhao, Journal of the Association for Consumer Research, 2020

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Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations

“Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations,” with Ziad Obermeyer, Brian Powers, and Christine Vogeli, Science, 366(6464), pp.447-453, 2019.