Margaret Wright is a distinguished researcher in optimization, linear algebra, and scientific computing, currently the Silver Professor of Computer Science at the Courant Institute of Mathematical Sciences, New York University. She is best known for groundbreaking work on barrier methods and nonlinearly constrained optimization, and on optimization without derivatives. In 2019 she was awarded the John von Neumann prize for her contributions to the numerical solution of optimization problems.
I have known Margaret since I was a graduate student in the mid 1980’s at Stanford when she was a research professor in the university’s Systems Optimization Laboratory. In August 2019, I interviewed her for the INFORMS Oral Histories program (video and full transcript are found here).