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Konstantin Makarychev is a professor in the Department of Computer Science at Northwestern University. His research interests focus on designing efficient algorithms for computationally hard problems. He aims to introduce new core techniques and develop general principles for algorithm design and analysis, with a particular emphasis on approximation algorithms, worst-case analysis, and the applications of high-dimensional geometry in computer science. Before joining Northwestern, he worked as a researcher at Microsoft and IBM Research Labs. He obtained his Ph.D. in Computer Science from Princeton University in 2007, highlighting his strong academic background and expertise in the field.
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