Dr Heba Sailem is a Reader and Wellcome Career Development Fellow at King’s College London. Her research focuses on developing AI-powered tools to enable more precise, data-driven treatment strategies for cancer patients. She leads a research programme developing AI methods that not only identify digital biomarkers but also uncover their underlying biological mechanisms, paving the way for the next generation of cancer diagnostics.

Her group is dedicated to improving access to quality healthcare through AI tools that are both effective and ethically designed. By emphasising responsible data use, transparency, and fairness in algorithmic design, she aims to ensure these technologies benefit all patients and foster trust in AI-driven healthcare.

Some of the key tools developed by her group include: 1) the AI in Histopathology Explorer (www.histopathexpo.ai), the first public dashboard evaluating over 1,500 AI-based histopathology studies 2) ShapoGraphy for visualising phenotypic data and 3) TissuePlot (https://sailem-group.github.io/TissuePlot/) for visualising spatial transcriptomics data.

Before joining King’s College London, she held research fellowships at the University of Oxford, University of Zurich, and Corpus Christi College, where she developed machine learning techniques to improve the interpretability of large-scale biomedical image data. She earned her PhD from the Institute of Cancer Research in London. She also holds a BSc in Computer Information Systems and an MSc in Data Warehousing and Data Mining.

Dr Sailem is accepting applications from PhD students and Postdoctoral Researchers.

Find out more on Dr Saliems' website.