AP
About
Research Fellow at the University of Padua, working in Fairness/Quantification Learning, formerly PhD from the University of Glasgow. During my PhD, I was a member of the Glasgow IR Group's Terrier Team. My doctoral research, supervised by Dr. Richard McCreadie and Dr. Jeff Dalton, focused on optimising task selection in transfer learning for natural language.
Publications
Divergence-Based Domain Transferability for Zero-Shot Classification
aclanthology.org2023.findings-eacl.122/
European Chapter of the Association for Computational Linguistics (EACL), 2023.
Statistical Methods
Transfer Learning
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions
arxiv.orgabs/2202.01096
European Conference on Information Retrieval (ECIR), 2022.
Statistical Methods
Interpretability
Transfer Learning
Education
University of Glasgow
2019 - 2024
Doctor of Philosophy - PhD, Computing Science
University of Glasgow
2014 - 2019
Master in Science - MSci, Software Engineering
Professional Experience
University of Padua
2024 - 2024
Research Fellow
University of GlasgowPart-time
2017 - 2023
Teaching and Marking Assistant
Provided teaching and marking assistance to students for the following undergraduate and postgraduate courses: Big Data, Computing Fundamentals, Cyber Systems Forensics, Enterprise Cyber Security, Human-Computer Interaction, Information Retrieval, Information Visualisation, Introductory Programming in Python, Introduction to Data Science with Python for Researchers and Engineers, MSc Summer Projects and Dissertation, Software Engineering.
Barclays
2019 - 2019
Automation Engineer
Developed and maintained bespoke software applications designed to automate complex screening processes.
Scoop MarketsInternship
2018 - 2018
Software Engineering Intern
Developed a command-line interface in Go to aggregate recommender system analytics for a start-up providing recommendations for stock market entities.