I am a PhD student in the Speech and Hearing Research Group and CDT for Speech and Language Technologies at the University of Sheffield. The main focus of my research is on using machine learning for hearing aid technology.

I hold an MMath in Mathematics from the University of Sheffield, and am due to complete my PhD in Computer Science at the University of Sheffield in November 2026.

My main research interests are:

• Speech enhancement/denoising
• Source separation/target speaker extraction
• Speech intelligibility assessment and prediction
• Speech foundational models

CHiME-9 ECHI

I am currently co-organising the CHiME-9 ECHI Challenge for Enhancing Conversations for the Hearing Impaired. Pariticipants must use audio signals from hearing aids or Project Aria glasses to remove background noise, while preserving the speech of the conversation partners.

• Quickstart
• Download the data
• CHiME9-ECHI Check out the baseline

Publications

PhD, University of Sheffield

Sept 2022 - Current

Research focusing on how machine learning can be used to improve hearing aids. Key points are on enhancing speech during conversations in noisy environments, and predicting the intelligibilty and quality of speech.

Mathematician, Crucible Gaming

Nov 2019 - Aug 2022

Developing mathematical models for backend development. Gained extensive experience using Python, C# and Excel.

Master of Mathematics, University of Sheffield

Jun 2010 - Mar 2012

Keen interest in combinatorics and topology. Master's thesis on the Ammann A2 Aperiodic Tiling.