My research interests lie at the intersection between software engineering and AI, aiming to utilise my experience in the software engineering industry to contribute to the creation of robust and innovative AI systems. I’m currently researching problems that arise...
My PhD focuses on using concepts from Causality (more specifically, Actual Causality) to prove bounds and improve learnt representations (weights) of deep learning models, so that they learn concepts, rather than patterns, allowing for better generalisation of models...
I am a PhD student working on the collaborative content creation use case as part of the UKRI research project PHAWM (Participatory Harm Auditing Workbenches and Methodologies), which is aligned with the UKRI Centre for Doctoral Training in Safe and Trusted AI. My...
The primary aim of my research is to leverage the respective strengths of knowledge graph reasoners and large language models. While LLMs can efficiently generate highly expressive natural language output, their probabilistic nature precludes consistency as a...
My research focuses on leveraging common-sense knowledge for the process of robot task planning. More specifically, it aims to improve the safety and trustworthiness of plans (sequences of actions) that are generated for a robot to execute, by using structured...
My research is focused on finding the loopholes that give rise to specification gaming or reward hacking problems in AI systems. I am working on a mathematical logic framework where we can formalise multiple redundant causal paths contributing to such outcomes, and...
My research focus on the applications of multimodal Large Language Models in educational AI. The main objectives are to incorporate LLMs into educational tasks such as automated assessment, teaching content generation, and grammatical error correction. Furthermore,...
My research explores the intersection of autonomous vehicles and algorithmic bias. Specifically, I focus on perception tasks in autonomous vehicles and algorithmic biases that may lead to discrimination and safety risks for pedestrians or vehicle users. In this era...
I am a PhD student in the DAI group, aligned with the UKRI Centre for Doctoral Training in Safe and Trusted AI (STAI CDT). My research focuses on developing causal machine learning methods to analyze complex genomic data. I aim to uncover how genes and molecular...
I’m a PhD student in the Department of Informatics, King’s College London. My research is focusing on software testing methods with Quantum programs. Particularly on Quantum Machine Learning. Metamorphic Testing is one of the core methods I’m currently working on to...
My research focuses on developing advanced neuro-symbolic methods to identify and detect anomalies in the context of industrial processes. I plan to create a new formalism that can model all the relevant domain knowledge, taking into account historical data about past...
Sophia started her PhD at KCL in June 2024. Her research aims to investigate the barriers for ethical data practice, to generate empirical evidence to inform improvements to ethical interventions that are used in practice across sectors. The recent proliferation of...
