MissKathleen Goldsmith

Kathleen is a Data Scientist with expertise in developing and deploying machine learning and AI applications in healthcare, with a particular focus on the NHS. She is a Data Scientist at the North West London iCARE Secure Data Environment, and the Digital Collaboration Space, Paddington Life Sciences, focusing on AI and Digital Health.

Katheen is experienced in the development and operationalisation of machine learning models, including post-deployment monitoring, performance evaluation, and ensuring long-term model reliability in real-world clinical settings. She has a strong interest in responsible, fair, and explainable AI, with a focus on ensuring that models are interpretable, ethically deployed, and aligned with clinical needs.

She works across a range of iCARE projects that apply data science, machine learning, and advanced analytics to real-world healthcare challenges, including patient safety, service redesign, and clinical decision support. Her current portfolio includes using a data-driven approach to evaluate processes around patient safety, reducing administrative burden, and applying translational data analytics, ML, and AI to improve the quality of electronic patient records.

Kathleen joined iCARE from extensive industry experience. Her previous work includes developing and deploying risk prediction models for NHS Scotland to optimise care and reduce unplanned hospital admissions for patients with chronic obstructive pulmonary disease (COPD) and developing machine learning models for women’s health technologies, such as wearable devices for pelvic floor rehabilitation and smart breast pumps.

Kathleen holds an MSc in Biomedical Engineering from Imperial College London and a BSc in Mathematics from the University of Manchester.