Staff Profile
Quinne Lin
Postgraduate Research Student & Postgraduate Teaching Assisstant
- Email: y.lin64@ncl.ac.uk
- Address: Urban Sciences Building Room 5.008,
1 Science Square,
School of Computing,
Newcastle University
Newcastle upon Tyne
NE4 5TG
Biography
I am a PhD student in School of Computing (ICOS group), working on Machine Learning, Generative AI, and natural language processing, under the supervision of Dr Jichun Li. My research is fully funded by Postgraduate Research Studentship.
In addition to my doctoral work, I serve as a Postgraduate Teaching Assistant in the School of Computing at Newcastle University, where I support undergraduate demonstrations, undertake marking duties, supervise Master’s projects, offer IT support, and act as an Open Day guide.
Current Research
My doctoral project focuses on advancing large-scale neural language models, particularly transformer-based architectures, for tasks such as text generation, domain adaptation, and multilingual comprehension. I am especially interested in the interplay between model performance and ethical considerations, including bias detection, representation, and explainability.
About Me
After completing my undergraduate studies in Finance in mainland China and Taiwan, I spent three years working in banking and the securities industry. During this time, I gained extensive experience in foreign exchange, key account management, industry research, and investment analysis. As I observed the advent of the data and AI era, I was driven by my passion for mathematics and programming to resign from a well-paid position and pursue a Master’s degree in Data Science at Durham University. Excluding my dissertation, I achieved an overall mark of 78%, including 90% in my Machine Learning module. My essay for the Critical Perspectives in Data Science module was also selected as a sample paper for the subsequent cohort.
In the 2024 PhD application cycle, I secured six fully-funded offers from Russell Group universities (QS 20–150), such as a scholarship from Durham University Business School, a joint Durham–CSC award, and a five-year MRes+PhD scholarship from Queen Mary University of London. My doctoral research is fully funded by a postgraduate research studentship.
I am equally passionate about supporting women in STEM, striving to dismantle barriers in both cross-disciplinary research and the traditionally male-dominated tech world.
I welcome any enquiries regarding my research, teaching, or potential collaboration opportunities. Feel free to get in touch at your convenience.
Research Interests
- Machine Learning
- Generative AI
- Large-Scale Pre-Trained Models & Optimisation
- Data Visualisation & Explainable AI
- Spring 2025: Programming Portfolio (2) - CSC1035 ( Lab Demonstrator and Marker)