Azeem M. Shaikh is the 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 anaysis of experiments; inference for partially identified models; 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 an Associate Editor at Econometrica and Journal of Econometrics. He is presently an Associate Editor of the Econometrics Journal and a Co-Editor of the Journal of Political Economy.