Vaidehi works in the robust area of mixture models. Particularly, her dissertation aimed at exploring estimation of a mixing distribution under a general mixture model via the predictive recursion (PR) algorithm. Her work focuses on both, the theory and applications of PR. The theory is based on solidifying the current results and computational improvement with the aim of broadening the scope of PR. The applications explore the implementation of PR in solving problems in different domains. After finishing her PhD at North Carolina State University, Vaidehi worked in the pharmaceutical industry for a year before joining Mizzou.