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.
Schuler, Alejandro, David Bruns-Smith, and Avi Feller, MIT Sloan Working Paper 7401-26. Cambridge, MA: MIT Sloan School of Management, 2026.
Lee, Joonhyuk, David Bruns-Smith, and Guido Imbens, MIT Sloan Working Paper 7402-26. Cambridge, MA: MIT Sloan School of Management, 2026.
Bruns-Smith, David, MIT Sloan Working Paper 7404-25. Cambridge, MA: MIT Sloan School of Management, November 2025.
Bruns-Smith, David and Angela Zhou, MIT Sloan Working Paper 7405-23. Cambridge, MA: MIT Sloan School of Management, October 2025.
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.
