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About
Regular biography
Alan Siegel is an Associate Professor of Computer Science at New York University. His research interests include VLSI design, analysis of algorithms, lower bounds, parallel algorithms, probability, and combinatorial geometry. Siegel holds a Ph.D. in Computer Science from Stanford University, USA, and is affiliated with the Computer Science department at NYU. His work spans theoretical computer science and mathematics, with contributions to areas such as hashing, probability, and geometry. Siegel's research has been published in various academic journals and conferences, and he is known for his accessible and intuitive explanations of complex mathematical concepts.