معرفی
Jann Spiess is an Associate Professor of Operations, Information & Technology at Stanford University's Graduate School of Business and holds a courtesy appointment as Associate Professor of Economics in the School of Humanities and Sciences. He is also a Center Fellow at the Stanford Institute for Economic Policy Research and a Faculty Affiliate of the Golub Capital Social Impact Lab.
- PhD in Economics (Harvard University, 2018)
- AM in Economics (Harvard University, 2015)
- MPP in Public Policy (Harvard University, 2013)
- MASt in Mathematics (University of Cambridge, 2011)
- BSc in Mathematics (Technical University of Munich, 2010)
Jann's research integrates machine learning with econometric methods to advance causal inference and data-driven decision-making. He explores high-dimensional and robust causal inference, synthetic control methods, and algorithmic fairness, while addressing challenges in human-AI collaboration and policy design.
His publications span econometrics, behavioral economics, and data science, focusing on experimental design, robust statistical techniques, and applications of machine learning to public policy. Key themes include replicable inferences from big data, human-AI interaction, and ethical algorithmic design.
- Philip F. Maritz Faculty Scholar, 2021–22
- David A. Wells Prize for best dissertation, Harvard Economics, 2018
- Restud Tour, 2018
Jann's work bridges microeconometric methods, statistical decision theory, and mechanism design to enhance analytical frameworks for data-driven policy. He has contributed to robust inference in panel data and synthetic control methods, alongside studies on nudges for vaccination and financial aid renewals.
As Faculty Affiliate at the Golub Capital Social Impact Lab, Jann collaborates on projects applying data science to social policy challenges, merging technical rigor with societal impact.
