About

I am a PhD Candidate at the Centre for Research on Evolution, Search and Testing (CREST) in the Department of Computer Science at University College London (UCL). I am supervised by Professor Federica Sarro and Professor Mark Harman.

My research interests lie on machine learning fairness, non-functional optimization, and search-based software engineering. In particular, I focus on improving the fairness of machine learning models, such as binary classification and word embeddings.

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Publications

• An Empirical Study on the Fairness of Pre-trained Word Embeddings (GEBNLP'22) [Bibtex] [pdf]
• Py2Cy: A Genetic Improvement Tool To Speed Up Python (GI@GECCO'22) [Bibtex] [pdf]
• Privileged and Unprivileged Groups: An Empirical Study on the Impact of the Age Attribute on Fairness (Fairware'22) [Bibtex] [pdf]
• Did You Do Your Homework? Raising Awareness on Software Fairness and Discrimination (ASE'22) [Bibtex] [pdf]
• Fairea: A Model Behaviour Mutation Approach to Benchmarking Bias Mitigation Methods (FSE'21) [Bibtex] [pdf]
• The Effect of Offspring Population Size on NSGA-II: A Preliminary Study (GECCO'21) [Bibtex] [pdf]
• A Survey of Performance Optimization for Mobile Applications (TSE'21) [Bibtex] [pdf]
• Optimising Word Embeddings With Search-Based Approaches (GECCO'20) [Bibtex] [pdf]

Master Thesis

• Using Deep Learning to Improve Proof-Number Search in Two-Player Board Games [pdf]

Service

• Shadow PC for MSR'22
• Co-reviewer for TSE
• Co-reviewer for ASE'22
• Co-reviewer for TOSEM
• Co-reviewer for ICSE'22
• Co-reviewer for FSE'21, FSE'22
• Co-reviewer for SANER'20
• Student Volunteer ICSE'21
• Student Volunteer FSE'20
• Teaching Assistant COMP0137 Machine Vision
• Teaching Assistant COMP0066 Introduction to Programming
• Teaching Assistant COMP0005 Algorithms
• Co-supervision of MSc student projects (Fairness of Word Embeddings, Genetic Improvement for Python)