Reda Keddar


After obtaining his computer engineering degree from École nationale Supérieure d’Informatique (Algiers, Algeria), Reda joined King’s College London’s Advanced Computing MSc programme where he worked on developing ensemble machine learning methods for cancer prognosis based on molecular and clinical data. In September 2018, Reda started his PhD in the Ciccarelli lab as a Marie Skłodowska-Curie fellow, as part of the Computational ONcology TRaining Alliance (CONTRA) innovative training network.

Scientific interest

Tumours are formed of a complex microenvironment composed of cancer cells as well as different non-malignant cells, such as immune cells and stromal cells. The objective of Reda’s PhD project is to develop computational tools to explore associations between cancer driver genes and specific states of the tumour microenvironment, both within and across different cancer types.