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Richard Peng is an Associate Professor in the Computer Science Department at Carnegie Mellon University. He received his Bachelor of Mathematics from the University of Waterloo and earned his PhD at Carnegie Mellon University, where he was advised by Gary L. Miller. Following his doctoral studies, he completed a postdoctoral fellowship at MIT in Applied Mathematics. His research interests broadly encompass the design and analysis of fast algorithms aimed at solving fundamental computational problems. Peng's work includes significant contributions to graph algorithms, dynamic algorithms, and linear algebraic algorithms, highlighting his expertise in the field of algorithms and computational theory.
Carnegie Mellon University • Pittsburgh, PA
Associate Professor in the Computer Science Department specializing in algorithms.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.