Niall McGuire.

PhD in Computer Science & Artificial Intelligence

Fully funded BAE Systems PhD scholarship. Supervised by Yashar Moshfeghi.

BAE Systems PhD Student of the Year Award (2026).

Computer Science — First Class Honours

Charles Babbage Prize for the best fourth-year dissertation.

Information retrieval

Language models and cross-modal learning that connect neurophysiological measures with textual information systems for neuro-adaptive information access.

Human-computer interaction

Production-ready systems combining temporal signal processing with interpretable machine learning for real-world neurophysiological HCI applications.

Brain-computer interfaces & signal processing

Representation learning and multimodal data fusion for EEG, fMRI, MEG, ECG, and eye tracking, with interests in semantic information extraction and time series forecasting.

Research intern / Redmond, Washington, United States

• Developed signal-processing methods with the Audio & Acoustics group and BCI team, using physiological signals as objective measures of audio quality and listening effort.
• Designed models to extract perceptual and cognitive correlates from neurophysiological and physiological data.
• Collaborated on reproducible, deployable experimental pipelines.

Research associate / Glasgow, United Kingdom

• Led research with BAE Systems and DSTL on pilot safety through real-time EEG, ECG, and eye-tracking analysis for mental workload classification.
• Designed a real-time system combining a masked autoencoder for denoising and a recurrent neural network for workload classification.
• Conducted validation studies for operational applications.

Lead teaching assistant / Glasgow, United Kingdom

• Delivered practical labs for over 100 MSc students in Machine Learning and Big Data, in person and online.
• Provided technical guidance and feedback on coursework and examinations.

Chair — Neurophysiology Information Systems & Machine Learning.

Reviewer — Neurophysiology Information Systems & Machine Learning.

Reviewer for the Advanced Course & Symposium on Artificial Intelligence & Neuroscience, and the European Conference on Artificial Intelligence & Neuroscience.