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Donald Goldfarb is the Alexander Hermine Avanessians Professor of Industrial Engineering and Operations Research at Columbia Engineering. He has had an extensive academic career, having served as acting dean and chair of the IEOR Department. His research interests focus on developing algorithms for solving optimization problems that arise in machine learning, particularly in the training of deep neural networks. Goldfarb is known for developing the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm and the steepest edge simplex method for linear programming. He is a member of the National Academy of Engineering and a fellow of the Society for Industrial and Applied Mathematics. He has received the INFORMS John Von Neumann Theory Prize for his contributions to the field.
Department of Anthropology (GSAS)