Kshitij's research focuses on the study of Fast Radio Bursts (FRBs). He uses machine learning to efficiently search for and classify FRBs from noise. He is part of the Realfast collaboration, which performs real-time FRB search and localization using Very Large Array in New Mexico. He also contributes towards many open source softwares for FRB data analysis.
PO Box 6315
Morgantown, WV 26506
Year started: Fall 2017
Year expected to graduate: Winter 2021, Spring 2022
Advisor: Prof. Sarah Burke-Spolaor