Stefan Wager

Stefan  Wager
Assistant Professor, Operations, Information & Technology
Contact Info
StefanWager
Assistant Professor of Operations, Information, and Technology
Assistant Professor of Statistics (by courtesy), School of Humanities and Sciences

Research Statement

Professor Wager’s research lies at the intersection of causal inference, optimization, and statistical learning. He is particularly interested in developing new solutions to classical problems in statistics, economics and decision making that leverage recent developments in machine learning.

Bio

Stefan Wager is an Assistant Professor of Operations, Information and Technology at Stanford University’s Graduate School of Business, and an Assistant Professor of Statistics (by courtesy). He received his Ph.D. in Statistics from Stanford University in 2016, and also holds a B.Sc. (2011) degree in Mathematics from Stanford. He was a postdoctoral researcher at Columbia University during the academic year 2016-2017, and has worked with or consulted for several Silicon Valley companies, including Dropbox, Facebook and Google.

Academic Degrees

  • PhD, Statistics, Stanford University, 2016
  • BS, Mathematics, Stanford University, 2011

Awards and Honors

  • Jerome H. Friedman Applied Statistics Dissertation Award, 2016
  • First place finish at the NSF-NGA-DTRA Chemical Detection Algorithms Challenge, 2014
  • B. C. and E. J. Eaves Stanford Graduate Fellow, 2011-2014

  • J. E. Wallace Sterling Award for Scholastic Achievement, 2011

Publications

Journal Articles

Stefan Wager, Susan Athey. Journal of the American Statistical Association (forthcoming). 2017.

Working Papers

Generalized Random Forests | PDF
Susan Athey, Stefan Wager, Julie Tibshirani, July 62017

Teaching

Degree Courses

2017-18

This course will cover statistical methods based on the machine learning literature that can be used for causal inference. In economics and the social sciences more broadly, empirical analyses typically estimate the effects of counterfactual...

This course covers mathematical and statistical underpinnings of causal inference, with a focus on scientific experimentation and data-driven decision making. Topics include randomization, potential outcomes, observational studies, double...

Stanford University Affiliations

Greater Stanford University

  • Assistant Professor of Statistics (by courtesy), School of Humanities and Sciences, 2017-present

School News

February 27, 2018
“Effective leaders in the digital age will need to be mindful of the social consequences of technology.”
September 19, 2017
The return of the school year welcomes new tenure-line faculty and lecturers, plus new electives to broaden the student experience.