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Vijini Mallawaarachchi

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Vijini Mallawaarachchi

Dr

 https://orcid.org/0000-0002-2651-8719
20172026

Research activity per year

Personal profile

Research Biography

Vijini is a Research Fellow in Bioinformatics at the Flinders Accelerator for Microbiome Exploration (FAME), where she works at the intersection of computer science and microbial genomics. Her research spans data science, algorithms, artificial intelligence, machine learning, software engineering, genomics, metagenomics and bacteriophages, with a focus on developing innovative computational approaches to tackle some of the most challenging problems in microbial omics.

Vijini completed her PhD in Computer Science at the Australian National University in 2022, where her thesis focused on developing algorithms and models for improved binning of complex environmental sequencing (metagenomic) data. She is experienced in algorithm design, graph theory, graph machine learning, representation learning, combinatorial optimisation, large-scale data analysis and software development. She has developed several metagenomic analysis tools that leverage sequence assembly graphs to recover and characterise microbial genomes from metagenomes. Currently, her research at FAME focuses on developing algorithmic and machine/deep learning methods to recover viral genomes from metagenomes, enabling the discovery and characterisation of novel viruses that infect bacteria called bacteriophages.

Career Highlights

  • Research Associate in Bioinformatics (Feb 2022 - Dec 2024)
    Flinders Accelerator for Microbiome Exploration, Flinders University
  • Academic Tutor (Jul 2019 - Dec 2021)
    School of Computing, The Australian National University
  • Junior Consultant (Jan - Jul 2018)
    Department of Computer Science and Engineering, University of Moratuwa
  • Visiting Instructor (Feb - Dec 2017)
    Department of Computer Science and Engineering, University of Moratuwa
  • Intern Software Engineer (Jun - Dec 2016)
    Sysco Labs Sri Lanka (previously known as CAKE LABS (Pvt) Ltd.)

Education/Academic qualification

PhD, Computer Science, Australian National University

Aug 2018 → Dec 2022

Award Date: 13 Dec 2022

Bachelor of Science (Honours), University of Moratuwa

Apr 2014 → Jan 2018

Award Date: 1 Jan 2018

Computer Science and Engineering

Supervision

  • Registered

Research Areas

  • Digital health
  • Digital health and technology
  • Molecular biosciences

Supervisory Interests

  • Bioinformatics
  • Metagenomics
  • Programming, Algorithms and Problem Solving
  • Data science

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 14 - Life Below Water
    SDG 14 Life Below Water

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Collaborations and top research areas from the last five years

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