Shuyin Ouyang

My research interests lie in the intersection of software engineering and AI. My research aims to improve code generation with LLM by using rule-based approaches, such as knowledge graphs. It focuses on enhancing the compliability, correctness, and explainability of generated code.

My decision to undertake a PhD at STAI CDT was primarily influenced by its reputation as a leading centre for artificial intelligence research. The unique cohort structure it offers encourages increased dialogue and collaborative opportunities. The range of topics explored by fellow students in this area presents a dynamic and inspiring learning atmosphere. I am convinced that integrating into this cohort will not only enhance my academic journey but also provide a deeply enriching experience. 

Masters Qualification: M.Sc. Informatics, University of Edinburgh