I’m a research scientist on the Human Influence team at the UK AI Security Institute where I’m working to understand and address the socio-cultural impacts of AI on individuals and society at large. My focus is in the development of responsible audio AI; particularly in assessing the capabilities of speech technologies and their impacts on human behaviour.

Before this, I was a research associate in the University of Edinburgh’s Institute for Language, Cognition and Computation. I completed my PhD in the Centre for Speech Technology Research at the University of Edinburgh where I worked with Catherine Lai and Peter Bell.

Alongside speech safety, my research explores the congitive mechanisms that underpin our ability to understand and produce language. During my PhD, I was particularly focused on how information encoded in the lexical and non-lexical channels of spoken communication affects perception. I applied these insights to better model human language comprehension as well as guide the development of efficient, perceptually-motivated representations of multi-channel communicative signals.

Translation: Spoken conversation is one of the most fundamental means we have for information transmission. How can we make use of information encoded in both [what words we say]_Lexical and [how we say them]_Non-lexical to better understand human communication and augment human-machine interactions?

In my spare time, I play, sing, and listen to music. I enjoy climbing moutains and rocks (whichever are closer!) and teaching yoga.

Before starting my PhD, I worked on several ML & NLP research teams across the UK, Denmark, and Germany. Check out my resumé for more details (updated Nov 2025).