Sailem Lab

Heba Sailem

Head of Biomedical Data Science

I am a Senior Lecturer at the School of Cancer and Pharmaceutical Sciences at King's College London. Before joining King's, I worked at the Institute of Biomedical Engineering and Big Data Institute at the University of Oxford as a Sir Henry Wellcome Research Fellow and Corpus Christi Junior Research Fellow. At Oxford I developed several approaches to tackle challenges in inferring gene function from phenotypic data.

I did my PhD at the Institute of Cancer Research in London where I developed methods for integrating phenotypic data with gene expression, modelling of the relationship between cell signalling and its context, and modelling the dynamics of cell morphogenesis. I have a BSc in Computer Information Systems and MSc in Data Warehousing and Data Mining.

I am passionate about data visualisation and communicating science through quantitative art. I devised PhenoPlot and ShapoGraphy (www.shapography.com). These methods facilitate the interpretation of high-dimensional data by generating pictorial representations of cells based on hundreds to thousands of measurements.

Danny Wu

PhD student

Danny is interested in developing weakly supervised approaches for classifying biomedical images. Recognizing the success of transformers in large language models, Danny aims to leverage their capabilities in processing spatial data like histopathological images.

Ryan Ma

PhD student

Ryan is exploring the application of graph neural networks to create highly accurate and efficient deep models for classifying cellular image data. He is also developing a light-weight data visualisation web app that enables researchers and scientists to explore datasets efficiently.

Coyun Oh

Research assistant

Coyun is developing foundation models and self-supervised learning approaches that aim to accelerate drug development.