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Dr Max Beesley
My research focuses on improving our understanding of why only certain prostate cancer clones within a patient (intratumoural) undergo metastasis. I will apply next-generation spatial transcriptomics to investigate clonal evolution, identify key driver mutations and better understand clonal interaction with the stromal tumour microenvironment (TME).
Dr Alastair Lamb
Senior Clinical Lecturer, Barts Cancer Institute Visiting Associate Professor, Oxford University Honorary Consultant Urological Surgeon, Guy's and St Thomas' NHS Foundation Trust
Our lab focusses on Spatial Prostate Assessment and the Circulating Environment (aka the SPACE Group). We use cutting edge spatial molecular techniques to unpack clonal dynamics in the development of localised prostate cancer. Alongside this we seek to identify scalable “windows” into clonal lethality using machine learning approaches applied to histology and MRI images as well as ‘liquid biopsy’ of circulating tumour cells (CTCs). Our aim is to transform decision-making in clinical management of prostate cancer so that the right men get the right treatment at the right time.
Dr Ankit Patel
My main research focuses on examining the immune landscape and identifying specific immune determinants that can predict the progression from actinic keratosis, a pre-malignant lesion, to cutaneous SCC. I am analysing single cell RNA-seq data and utilizing machine learning algorithms to evaluate potential diagnostic and prognostic markers that could aid in the identification of high-risk SCC patients. The identification of these markers is critical for early detection and intervention, which can significantly improve patient outcomes.
Dr Emma Bailey
I am providing bioinformatics support for several projects focusing on squamous cell carcinoma. This generally involves developing bioinformatics pipelines for large-scale cancer datasets and utilising computational approaches for analysis, with the overall aim being to uncover novel diagnostic and prognostic biomarkers.
Dr Maryam Abdollahyan
My research is focused on Machine Learning with applications in Bioinformatics and Health Informatics, and Data Management of the Breast Cancer Now Tissue Bank (BCNTB).