Alicia Shek

Comparing Models for Receptive Fields for Natural Sound Encoding, 3rd year group project - 2025-Current

• Collaborative project to evaluate and implement 4 predictive neural encoding prediction models (STA, STC, MNE, and dSTRF) to decode natural ultrasonic vocalisations through adapted code pipelines using PyTorch and MATLAB to analyse extracellular recordings from 46 isolated auditory cortical neurons
• Model performance was quantified via Pearson correlation on held-out data and assessed dynamic tuning properties detected via the deep-learning-based model

Blood-Based Neurofilament Light Chain: A Road map for Implementation in Paediatric Care- 2024-Current

• Used Covidence for managing screening processing to systematically identify and extract metrics from 39 studies on paediatric Neurofilament Light Chain (NfL).
• Analysed aggregated cohort data to make age-dependent biomarker references for the development of a three-phase roadmap for clinical implementation

Challenges in Healthcare Technology: Interoperability within the NHS, 2nd year group project- 2024-2025

• Developed comprehensive literature search and consultation protocols, co-authoring interoperability and implementation sections of the review
• Recruited and conducted consultations with doctors and industry professionals, structuring qualitative data for key findings and integrated reflections

Comparing the views of AI between medical students and doctors, 1st year group project- 2024

• Led participant recruitment strategies through outreach to medical students at the University of Edinburgh and doctors. Synthesised raw survey responses to uncover key professional disparities which evaluated integration and ethical considerations of AI tools within the NHS.
• Commendation for SSC1 Project

IC HealthHack 2026 Most Creative Solution Winner

£200 team prize and Let's Design Health Innovations podcast feature for alternative stool test ideation and presentation