Sahand Negahban

Assistant Professor
Yale University

Sahand Negahban is currently an Assistant Professor in the Statistics Department at Yale University. Prior to that he worked with Prof. Devavrat Shah at MIT as a postdoc and Prof. Martin J. Wainwright at UC Berkeley as a graduate student.

The focus of Prof. Negahban's research is to develop theoretically sound methods, which are both computationally and statistically efficient, for extracting information from large datasets. A salient feature of his work has been to understand how hidden low-complexity struc- ture in large datasets can be used to develop computationally and statistically efficient methods for extracting meaningful information for high-dimensional estimation problems. His work borrows from and improves upon tools of statistical signal processing, machine learning, probability and convex optimization.