Microsoft Research
Research intern · Redmond, Washington
Jun – Sep 2026
Signal-processing methods and reproducible pipelines for physiological measures of audio quality and listening effort.
I'm a PhD researcher in Computer Science and Artificial Intelligence at the University of Strathclyde, working with Yashar Moshfeghi in the iSchool Research Group and NeuraSearch Laboratory. My research connects information retrieval, machine learning, and neurophysiological signal processing.
I'm interested in how information systems can understand human needs beyond the words in a search query. I investigate how brain and physiological signals can be represented, decoded, and connected with textual and audio information, with the aim of building more useful and interpretable systems.
Most recently, I interned at Microsoft Research in Redmond (June–September 2026), working with the Audio & Acoustics group and BCI team on physiological measures of audio quality and listening effort.
My PhD began in 2022 with a fully funded BAE Systems scholarship. I received the BAE Systems PhD Student of the Year Award (2026), and previously graduated from Strathclyde with first-class honours in Computer Science and the Charles Babbage Prize for the best fourth-year dissertation.
I'm happy to discuss research collaborations and work at the intersection of machine learning and physiological signals. Get in touch.
Research interests
- Brain-based information retrieval
- EEG query representations, language models, and cross-modal learning that connect neural responses with passage retrieval across reading and listening.
- Multimodal signal learning
- Representation learning and data fusion for EEG, ECG, and eye tracking, with interests extending to fMRI and MEG, semantic information extraction, and time series forecasting.
- Neurophysiological HCI & audio
- Interpretable temporal models for mental workload and error classification in operational environments, alongside physiological measures of audio quality and listening effort.
Selected publications
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Research publications
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Experience
Full CVUniversity of Strathclyde
Research associate · Glasgow
Jun 2023 – Jan 2024
Research with BAE Systems and DSTL on real-time mental workload classification using EEG, ECG, and eye tracking, combining signal denoising with temporal machine learning.
University of Strathclyde
Lead teaching assistant · Glasgow
Jan – May 2023
Practical labs and technical guidance for over 100 MSc students in Machine Learning and Big Data.