Google Research

Rajesh Jayaram


Rajesh is a Research Scientist at Google NYC, where he is part of the NYC Algorithms and Optimization team. He received his PhD in Computer Science from Carnegie Mellon University in 2021, where he was advised by David P. Woodruff. Prior to that, in 2017 he received his B.S. in Mathematics and Computer Science from Brown University. His research focuses primarily on sublinear algorithms, especially randomized sketching and streaming algorithms for problems in big-data. In general, he enjoys thinking about dimensionality reduction: namely, to what extent can we compress the significant components of an enormous, noisy data-set? His work also spans property testing, machine learning, and optimization.

He also has a personal homepage.

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