Sendhil Mullainathan is the Peter de Florez Professor at MIT, splitting his time between the Economics and the Electrical Engineering and Computer Science departments. His current research is at the …

“ Measuring the Stability of EHR- and EKG-based Predictive Models,” with Andrew C. Miller, Ziad Obermeyer, Sendhil Mullainathan Machine Learning for Health (NeurIPS Workshop), 2018.

14.163 ALGORITHMS AND BEHAVIORAL SCIENCE (SPRING) Examines algorithms and their interaction with human cognition. Provides an overview of supervised learning as it relates to …

“ An exercise in self-replication: Replicating Shah, Mullainathan, and Shafir (2012),” with Anuj Shah and Eldar Shafir, Journal of Economic Psychology (2018) “ Debt Traps? Market Vendors and …

14.163 ALGORITHMS AND BEHAVIORAL SCIENCE (SPRING) S.6041 ALGORITHMIC SOLUTIONS TO HUMAN PROBLEMS (SPRING)

An exercise in self-replication: Replicating Shah, Mullainathan, and Shafir (2012) “ An exercise in self-replication: Replicating Shah, Mullainathan, and Shafir (2012),” with Anuj Shah and Eldar Shafir, …

Things I’m Involved In Imagine algorithms that can do what people do. We think that’s a pretty uninspiring vision. Imagine, instead, algorithms that can take us whole new places we could never …

s doing most of the work. As Mullainathan and Spiess (2017) put it, estimation is about solving 3 problems, while prediction is I see three particularly useful insights that flow from this simple framework.

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“Measuring the Stability of EHR- and EKG-based Predictive Models,” joint with Andrew C. Miller, Ziad Obermeyer, Sendhil Mullainathan Machine Learning for Health (NeurIPS Workshop), 2018