IGCAST

Research Interests

Her research employs computational and mathematical methods to analyze large biological datasets and develop models to understand biological systems. By exploring complex omics and environmental datasets, Trivedi aims to dissect the molecular basis of adaptive traits that drive plant-microbiome-environmental interactions in a changing environment.

Her long-term goals is to develop new computational tools and predictive models that enable plant breeders and ecologists to predict beneficial organismal interactions to achieve improved yields and plant resilience in changing environments.

Background

Before joining the Texas Tech faculty, Trivedi served as a bioinformatic and computational biology consultant, bioinformatic research scientist, and postdoctoral associate within Colorado State University’s College of Agricultural Sciences. Earlier, she worked as an associate scientist with the Hawkesbury Institute for the Environment at Western Sydney University in Australia, a visiting research scholar with Chungbuk National University’s Department of Rural & Agricultural Engineering in Korea, and a junior research fellow within the Indian Council of Forest Research Education’s Department of Statistics in Dehradun, India.

Trivedi received her bachelor’s degree in botany, forestry, and zoology and her master’s degree in forestry, both from Kumaun University, Nainital, Uttarakhand, India. She earned her doctorate in soil ecology from Hawkesbury Institute for the Environment at Western Sydney University in Australia. Recent honors include a Colorado State University Professional Development Award (2021).