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.
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)