Jann Spiess

Assistant Professor, Operations, Information & Technology

Assistant Professor of Operations, Information & Technology

Center Fellow, Stanford Institute for Economic Policy Research
Assistant Professor of Economics (by courtesy), School of Humanities and Sciences
Philip F. Maritz Faculty Scholar for 2021-22

Research Statement

Jann works on integrating techniques and insights from machine learning into the econometric toolbox. His research brings together microeconometric methods, statistical decision theory, and mechanism design to clarify the use of flexible prediction algorithms in causal inference and data-driven decision-making. He is particularly interested in the role of human and machine decisions in replicable and robust inferences from big data.

Research Interests

  • Data-driven Decision-making
  • Machine Learning
  • Econometrics
  • Causal Inference
  • Data Science

Bio

Jann holds a PhD in economics from Harvard University. Previously, Jann obtained a master’s degree in public policy from the Harvard Kennedy School. His background is in mathematics with a focus on probability theory and combinatorics, which he studied at the University of Cambridge (Part III of the Mathematical Tripos) and the Technical University of Munich. Jann also studied and worked in Hangzhou, China and Ouagadougou, Burkina Faso.

Academic Degrees

  • PhD, Economics, Harvard University, 2018
  • AM, Economics, Harvard University, 2015
  • MPP, Public Policy, Harvard University, 2013
  • MASt, Mathematics, University of Cambridge, 2011
  • BSc, Mathematics, Technical University of Munich, 2010

Awards and Honors

  • David A. Wells Prize for best dissertation, Department of Economics, Harvard University, 2018
  • Restud Tour, 2018

Publications

Journal Article

Stanford GSB Affiliations