Annemarie holds a Wellcome Career Development Award and is a Consultant in Critical Care at the Royal Infirmary Edinburgh. She leads ICU-Heart, a multi-disciplinary collaboration that aims to revolutionise the care of Intensive Care patients by harnessing novel approaches in the use of technology and high dimensional data. The two exemplar projects - diagnosis of myocardial infarction (MI), and multimorbidity - combine key unanswered research priorities with the need for data driven innovation.

The integration of routinely collected healthcare data offers transformative potential for research and clinical practice, particularly in intensive care units (ICUs) where high-frequency data is generated but underutilised. Challenges include data artefact and limited validation of artificial intelligence (AI) models. Our research aims to overcome these barriers by developing AI-driven approaches for myocardial infarction (MI) detection using continuous cardiac monitoring and both risk prediction/causal models that incorporate time-varying variables. The project explores clinical phenotypes, multi-organ dysfunction, and disease interactions to improve patient outcomes. Through interdisciplinary collaboration and leveraging multimodal data streams, the work seeks to refine MI diagnosis, predict critical events, and assess targeted interventions. Stakeholder engagement and socio-technical analysis support real-world implementation. The Fellowship aims to advance data-driven healthcare innovations and integrate novel clinical decision-support systems into ICU practice.

Annemarie's experience in data science enabled her to step up to lead clinical data analysis for major national COVID-19 response efforts, for example the International Severe Acute and emerging Respiratory Infections Consortium (ISARIC4C), applying novel analytical techniques to answer key questions including mediation analysis, interrupted time series, risk prediction modelling and trajectory clustering. She delivered the routinely collected health data linkages for major national observational studies (ISARIC4C, PHOSP-COVID) and the UK adaptive platform trial HEAL-COVID, enabling characterisation of pre-COVID-19 admission healthcare trajectories, robust management of missing data, and long term follow-up. Primary and secondary outcomes (death, hospital readmission) for HEAL-COVID were entirely collected through routine data in Scotland (Public Health Scotland), England (NHS Digital), and Wales (SAIL). More recently, she is the data co-lead for the CSO funded Scotland-wide TRAITS trial, variable fields are aligned to the Scottish Intensive Care Society Audit Group (SICSAG), and data are transferred securely from individual ICUs to the Edinburgh Clinical Trials Unit.