Saif is a PhD candidate in the Department of Population Health Sciences at King’s College London, specialising in clinical guidelines, clinical decision support, and machine learning. His research focuses on using formal methods to validate clinical guidelines for co-morbidity and employing Large Language Models (LLMs) to address the knowledge acquisition bottleneck. A core aim of his work is the creation of explainable treatment plans to resolve conflicts in clinical guidelines.

Saif holds a Bachelor’s degree in Computer Science with a Year in Industry from King’s College London, where he was awarded the Informatics Top-Performing Graduate and BSc Finalist prizes. He conducted his thesis on the integration of a phenotype library into EHR workflows. In addition to his academic pursuits, he served as a tech lead in NHS GP practices, developing native tools within EHR systems to enhance clinical decision support and automate workflows for chronic disease management and vaccination programmes. During his placement year at Accenture, Saif worked as a Cloud Engineer on the NHS Test Platform, overseeing AWS service infrastructure and software releases. He is also actively involved in teaching undergraduate students in the Department of Informatics.

Saif Latifi's PURE Profile