Teaching

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• MIT 15.060 -- Data, Models, and Decisions, MIT MBA (Fall 2023, 2024)
• MIT 15.090 -- Common Experience in Operations Research, MIT PhD ORC(Summer 2024, 2025)

Tutorials

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• Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity, NeurIPS22
  
• Do we incentivize honest effort or gaming in incentive-aware learning?, tutorial during STOC22 workshop on "Optimizing the effort of others" (invited)
  slides  video
• Algorithms for Incentive-Aware Learning, full day course at the University of Zurich, 2021 (invited)
  slides part 1  slides parts 2-3  slides part 4
• How to Achieve Both Transparency and Accuracy in Predictive Decision Making:
  An Introduction to Strategic Prediction, FAccT21
  Co-taught with Ben Edelman and Yo Shavit.
• Incentive-Compatible and Incentive-Aware Learning, EC20
  Co-taught with Nika Haghtalab.