Kshiteej Sheth

Kshiteej Sheth

Graduate Student, EPFL

Kshiteej is a PhD student at EPFL advised by Michael Kapralov. He is broadly interested in algorithms for massive datasets, with a focus on randomized algorithms for large scale numerical linear algebra, high-dimensional data analysis and optimization.

Previously, he was supervised by Ola Svensson during his masters on clustering problems. Before that he worked with Anirban Dasgupta and Dr. Dinesh Garg (IBM Research, Bengaluru) during his undergrad on randomized linear algebra. He also spent a summer at Caltech on a SURF fellowship working with Dr. Ashish Mahabal on deep learning for astronomy.

Program Visits

Data Structures and Optimization for Fast Algorithms, Fall 2023, Visiting Graduate Student