Personal profile

Biography

As a research fellow at Lero, the Science Foundation Ireland Research Centre for Software, I apply machine learning techniques to recover and refactor architectural artifacts in large-scale codebases. With over 10 years of experience in software engineering and research, I have developed expertise in source code analysis, software clone detection, and evolutionary computation. My research aims to improve the quality, reliability, and security of software systems by identifying and eliminating code duplication, which can lead to errors, vulnerabilities, and maintenance issues. I also explore the use of evolutionary algorithms and large language models to generate synthetic data for training supervised learning models. In addition to my research, I am passionate about supporting initiatives that promote diversity and inclusion in STEM education and careers, such as the WiSTEM2D scholarship programme.

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):

  • SDG 4 - Quality Education
  • SDG 5 - Gender Equality
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities

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Collaborations and top research areas from the last five years

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