My PhD focuses on how cooperative behaviour between agents is shaped by the environment. By understanding how different incentives give rise to different system dynamics, I aim to be able to design mechanisms that will promote pro-social behaviour. My project utilises...
My PhD project is on the explainability of human-machine dialogue through visualisation. Recently, research on dialogue systems has been shifting focus from a traditional task-oriented rule-based paradigm to the more scalable, but...
My research focuses on neural architectures, specifically what makes which architecture successful when. It turns out that geometry plays an important role: probing the neural network to see what inputs it finds indistinguishable characterises important qualities of...
As data-driven AI methods develop rapidly within academia, industry, and government, the need to ensure AI does not harm individuals and groups when making predictions about them is of the utmost importance. While powerful, these methods carry with them a risk of...
The current focus of my PhD is on scenarios involving multi-agent interactions between both humans and artificial agents. Technically, my interests lie in the intersection of reinforcement and reward learning, game theory, and symbolic approaches to AI. ...
My PhD project is about improving the robustness and transparency of black box machine learning (ML) models. We are planning to do that by making ML models respect imparted and discovered causal knowledge to then use this as the basis of argumentative...
I focus on developing new methods to provide provable formal guarantees on neural network behaviour. Specifically, I have interests in geometric robustness and Lipschitz-based local and global robustness for neural network verification. While a standalone PhD is...
I am a PhD Candidate at Imperial College London with a studentship at the Alan Turing Institute. I am passionate about the social impact of artificial intelligence. My current research is focused on evaluating the impact of recommender algorithms on social media,...
