Alicia is Assistant Professor and Principal Investigator at the Cardiology department in Amsterdam UMC. She is an epidemiologist specialised in cardiovascular (pharmaco)epidemiology, with a focus on optimising and personalising the care and treatment for cardiovascular patients, particularly those with heart failure (HF). Her research leverages complex, linked real-world data, including electronic health records (EHR) and clinical registries, to support data-driven decision-making in cardiovascular care. By integrating pharmaco-epidemiological methods and predictive modelling, including machine learning, she investigates treatment effectiveness, adherence, and long-term outcomes, aiming to enhance patient-centred care. With a strong interest in applied science, she contributes to the implementation of patient-centred innovations within healthcare systems.

Her work is grounded in the recognition that large-scale, routinely collected healthcare data represents a critical, yet, underutilised asset for transforming cardiovascular care. With a clear vision for bridging the gap between clinical research and real-world practice, she leads efforts to convert complex data into clinically interpretable, and implementation-ready tools. Through this work, she is building the foundation for a scalable, learning healthcare system for a future of data-driven, patient-centred cardiovascular medicine.