Faculty
David Bruns-Smith joins MIT as an Assistant Professor with a shared appointment between the MIT Sloan Finance Group and the EECS (Electrical Engineering and Computer Science) Department.
His research develops machine-learning methods for causal inference with applications in macroeconomics and household finance.
Previously, he was a postdoctoral fellow at Stanford Data Science and received a PhD in computer science from UC Berkeley in 2024.
Bruns-Smith, David, Oliver Dukes, Avi Feller, and Elizabeth L Ogburn. Journal of the Royal Statistical Society Series B: Statistical Methodology. Forthcoming.
Oscar Clivio, Alexander D'Amour, Alexander Franks, David Bruns-Smith, Chris Holmes, and Avi Feller. In Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, Tangier, Morocco:. Forthcoming. arXiv.
David Bruns-Smith, Zhongming Xie, and Avi Feller. In Advances in Neural Information Processing Systems, San Diego, CA: September 2025. arXiv.
David Bruns-Smith, Avi Feller, and Emi Nakamura. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, Chicago, IL: June 2023.
David Bruns-Smith and Avi Feller. In Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, Virtual Conference: March 2022. arXiv.
David Bruns-Smith. In Proceedings of the 38th International Conference on Machine Learning, Virtual Conference: July 2021. arXiv.
Debiased machine learning, the currency of invoicing, and training good models with bad data: Meet the new experts bringing their knowledge and skill sets to the MIT Sloan School of Management.
