Dr Vijini Mallawaarachchi

Research Associate

College of Science and Engineering

place Bedford Park
GPO Box 2100, Adelaide 5001, South Australia

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 PhD 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 analysis tools which have leveraged assembly graphs to recover bacterial genomes from metagenomes. Currently, her research at FAME focuses on developing methods to recover viral genomes from metagenomes which can facilitate the discovery of novel bacteriophages.

Qualifications

Doctor of Philosophy
Australian National University, Canberra, Australia
2018 - 2022

Bachelor of Science in Computer Science and Engineering (Honours)
University of Moratuwa, Sri Lanka
2014 - 2018

Honours, awards and grants

National Computational Merit Allocation Scheme 2024 Supercomputing Grant
Pawsey Supercomputing Research Centre, Australia
2023

NCI Adapter Allocation Scheme Q3 2023 Grant
National Computational Infrastructure, Australia
2023

The Australian Society for Microbiology SA/NT Branch Early Career Researcher Award
Travel grant to attend The Australian Society for Microbiology Annual National Meeting 2023, Australia
2023

Best Lightning Talk ABACBS 2022
Australian Bioinformatics And Computational Biology Society Conference (ABACBS 2022), Australia
2022

ANU PhD Scholarship (International) and HDR Merit Scholarship
The Australian National University, Australia
2018

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
2018

ACM-W Scholarship
Association for Computing Machinery (ACM)
2018

Topic lecturer
ENGR1721 Engineering Programming
ENGR8800 Engineering Programming GE
Supervisory interests
Bioinformatics
Data science
Programming, Algorithms and Problem Solving
Higher degree by research supervision
Current
Associate supervisor: Bioinformatics (2)