Niamh Errington

Niamh Errington is a Research Fellow at the Department of Biostatistics & Health Informatics within the King’s College London School of Mental Health & Psychological Sciences. She joined King’s in April 2025 after serving as a Research Associate at Imperial College London.

• PhD in Machine Learning (University of Sheffield, 2022)
• MSc in Bioinformatics (Newcastle University)

Her research focuses on machine learning applications in digital health, particularly for mental and cardiovascular health. Key areas include:

• Remote monitoring technologies (RADAR-MDD project)
• Biomarker discovery for pulmonary hypertension
• Predictive modeling of high-dimensional clinical/sensor data
• Transcriptomic profiling in cardiopulmonary diseases

Recent publications highlight:

• MicroRNA signatures in cardiovascular diagnostics
• Mendelian randomization for metabolite-disease links
• Wearable device data analysis in pandemic scenarios
• Unsupervised methods for disease subtyping

Collaborations span institutions like University of Sheffield, Newcastle University, and Imperial College London, with technical focus areas including:

• Consensus machine learning approaches
• Smart device integration in clinical research
• Molecular profiling for precision medicine