معرفی
Margaret H. Wright is a distinguished academic and researcher in optimization, numerical computing, and scientific applications. She holds a professorship in Computer Science and Mathematics at New York University's Courant Institute, where she also served as Chair of the Computer Science Department. Her career includes roles at Stanford University and Bell Laboratories, where she contributed to foundational work in optimization algorithms and numerical methods.
Education: B.S. and M.S. in Mathematics and Computer Science from Stanford University (1966–1976), followed by a Ph.D. in Computer Science (1976). Her research focuses on optimization techniques, linear algebra, and their applications in engineering and science.
Key contributions include seminal work on the Nelder-Mead simplex method, interior-point methods, and numerical linear algebra. She authored influential books like Practical Optimization and contributed to over 40 publications. Her articles span optimization theory, computational methods, and interdisciplinary applications.
Awards and Recognition: Elected to the National Academy of Engineering (1997), American Academy of Arts and Sciences (2001), and National Academy of Sciences (2005). Honored with the AWM Noether Lecture (2000), SIAM's Distinguished Service Award (2001), and AMS's Public Service Award (2002) for her advocacy in STEM education and diversity.
Leadership: Served as President of the Society for Industrial and Applied Mathematics (1995–1996). Active in editorial roles for journals and in promoting women and minorities in mathematics and computing.
