Vijini is a Research Associate in Bioinformatics at the Flinders Accelerator for Microbiome Exploration (FAME). Her research interests include metagenomics, algorithms, data science and machine learning.

Vijini completed her Ph.D. in Computer Science at the Australian National University in 2022, and her thesis is focused on developing models and algorithms for improved binning of metagenomic data. She has developed several metagenomic binning tools which have leveraged assembly graphs to bin bacterial metagenomes accurately. Currently, her research at FAME focuses on developing methods to bin viral metagenomes which can facilitate the discovery of novel bacteriophages from metagenomic data.