Azeem M. Shaikh is the Chairman and Ralph and Mary Otis Isham Professor of Economics in the Kenneth C. Griffin Department of Economics and Co-Director of the Becker Friedman Institute's Big Data Initiative. He holds a B.S. in mathematics from Duke University and earned his Ph.D. in economics from Stanford University in 2006. His research interests lie broadly in econometric theory, including multiple testing problems; resampling methods such as the bootstrap, subsampling and randomization tests; the design and analysis of experiments; inference for partially identified models; causal inference; and applications of these ideas to evaluating early childhood education programs and ranking neighborhoods in terms of intergenerational mobility.

His research has been recognized via support from the National Science Foundation, the Dennis J. Aigner Award for Applied Econometrics, a Hoover National Fellowship, and an Alfred P. Sloan Fellowship.

He is an elected fellow of the Econometric Society and the International Association for Applied Econometrics since 2018. He was previously a Co-Editor of the Journal of Political Economy and an Associate Editor at Econometrica, the Journal of Econometrics, and the Econometrics Journal.