Victor Chernozhukov

Victor Chernozhukov is a Professor at the Department of Economics and Center for Statistics at the Massachusetts Institute of Technology (MIT). He also holds international fellowships at the University College London's CEMMAP and is a Professor by Courtesy at the New Economic School in Russia. His research spans econometrics, high-dimensional statistics, quantile regression, and causal inference.

• Education: Ph.D. in Economics from Stanford University (2000), M.S. in Statistics from University of Illinois at Urbana-Champaign (1997)

His work focuses on developing statistical methods for high-dimensional data, including central limit theorems, post-selection inference, and quantile regression. He has contributed to partial identification, Bayesian inference, and extreme value analysis, with applications to economic policy evaluation.

Recent publications emphasize high-dimensional causal inference, adaptive confidence bands, and set estimation. His research has been supported by the National Science Foundation and recognized with the Alfred P. Sloan Research Fellowship.

• Scientific Awards:
  • Alfred P. Sloan Research Fellowship (2005-2007)
  • Castle-Krob Career Development Chair (2004-2007)

Grants include long-term support from the National Science Foundation since 2001 and software development collaborations for Stata and MATLAB implementations.