Generate a tailored SOP for Dr. David Shmoys. Improve your application with a focused, well-structured draft.
David Shmoys is the Laibe/Acheson Professor at Cornell University and the Director of the Center for Data Science, Enterprise, and Society. He obtained his Ph.D. in computer science from the University of California at Berkeley in 1984 and has held postdoctoral positions at the Mathematical Sciences Research Institute and Harvard University. Shmoys has worked in various faculty positions, including at MIT, before joining Cornell University. His research focuses on the design and analysis of efficient algorithms for discrete optimization problems, with applications in scheduling, inventory theory, computational biology, computational sustainability, and data-driven decision-making in the sharing economy. He has emphasized the pivotal role of linear programming in the design of approximation algorithms for NP-hard problems. His co-authored book, 'Design of Approximation Algorithms,' won the 2013 INFORMS Lanchester Prize, and his work on bike-sharing systems has been recognized with the 2018 INFORMS Wagner Prize. He is a Fellow of the ACM, INFORMS, and SIAM, and was awarded the NSF Presidential Young Investigator title.
Cornell University • Ithaca, NY
Teaching classes in optimization, algorithm design, and mathematical modeling applications.
Department of Architecture