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Colloquium

FDS Colloquium: Cliff Stein (Columbia)

Speaker: Cliff Stein (Columbia) Professor of IEOR and Computer Science Columbia University Wednesday, March 25, 2026 11:30AM - 1:00PM Lunch at 11:30am in 1307 Talk 12:00-1:00pm in 1327 Location: Yale Institute for Foundations of Data Science & Webcast, 219 Prospect Street, New Haven, CT 06511 and via Webcast: https://yale.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=0da6bab7-3261-4d8b-870d-b3ca0148ce19

Speaker Bio: Clifford Stein is a Professor of IEOR and of Computer Science at Columbia University. He is also the Associate Director for Research in the Data Science Institute. From 2008-2013, he was chair of the IEOR department. Prior to joining Columbia, he spent 9 years as an Assistant and Associate Professor in the Dartmouth College Department of Computer Science.

His research interests include the design and analysis of algorithms, combinatorial optimization, operations research, network algorithms, scheduling, algorithm engineering and computational biology. Professor Stein has published many influential papers in the leading conferences and journals in his field, and has occupied a variety of editorial positions including the journals ACM Transactions on Algorithms, Mathematical Programming, Journal of Algorithms, SIAM Journal on Discrete Mathematics and Operations Research Letters. His work has been supported by the National Science Foundation and Sloan Foundation. He is a Fellow of the Association for Computing Machinery (ACM). He is the winner of several prestigious awards including an NSF Career Award, an Alfred Sloan Research Fellowship and the Karen Wetterhahn Award for Distinguished Creative or Scholarly Achievement. He is also the co-author of the two textbooks. Introduction to Algorithms, with T. Cormen, C. Leiserson and R. Rivest is currently the best-selling textbook in algorithms and has sold over half a million copies and been translated into 15 languages. Discrete Math for Computer Scientists , with Ken Bogart and Scot Drysdale, is a text book which covers discrete math at an undergraduate level.

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