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 including GraphBin and MetaCoAG 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.
Doctor of Philosophy
Australian National University, Canberra, Australia
2018 - 2022 (Expected)
Bachelor of Science in Computer Science and Engineering (Honours)
University of Moratuwa, Sri Lanka
2014 - 2018
ANU PhD Scholarship (International) and HDR Merit Scholarship
The Australian National University, Australia
Excellent Oral Presentation award ICSCA 2018
Computer Science and Information Communication session at the 7th ACM International Conference on Software and Computer Applications (ICSCA) 2018, Kuantan, Malaysia
Association for Computing Machinery (ACM)
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