Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer

Research Fellow



+44 (0)20 7594 5943e.curry




Open PlanInstitute of Reproductive and Developmental BiologyHammersmith Campus





Ed Curry leads the Bioinformatics Hub in the Division of Cancer at Imperial College. His research group works on the analysis of datasets from a wide range of platforms profiling the genetic, epigenetic and transcriptional state of cells during cancer development and acquisition of drug resistance. The main focus of this work is finding epigenetic mechanisms that cancer cells use to adapt to different selection pressures. Ed is an academic fellow of the Data Science Institute, and is actively involved in collaborations across Imperial College working on applications of machine learning and computational statistics to biomedical research.

One aspect of Ed's bioinformatics work involves identifying biologically informative patterns that exist within subsets of large, heterogeneous datasets. This is particularly important when studying cancers, as mechanisms of carcinogenesis and drug resistance are rarely conserved across across all patients with a particular disease, or indeed even across all cells from an individual tumour.

Ed is senior tutor for the Cancer Informatics MRes programme, and lectures on courses across the Faculty of Medicine. He is deputy director of the Genetics and Genomics module for the BSc in Medical Biosciences.




Lu H, Arshad M, Thornton A, et al., 2019, A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer, Nature Communications, Vol:10, ISSN:2041-1723

Cunnea P, Gorgy T, Petkos K, et al., 2018, Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients, Scientific Reports, Vol:8, ISSN:2045-2322

Curry E, Zeller C, Masrour N, et al., 2018, Genes Predisposed to DNA Hypermethylation during Acquired Resistance to Chemotherapy Are Identified in Ovarian Tumors by Bivalent Chromatin Domains at Initial Diagnosis, Cancer Research, Vol:78, ISSN:0008-5472, Pages:1383-1391

Janczar S, Nautiyal J, Xiao Y, et al., 2017, WWOX sensitises ovarian cancer cells to paclitaxel via modulation of the ER stress response, Cell Death & Disease, Vol:8, ISSN:2041-4889

Simmonds P, Loomis E, Curry E, 2017, DNA methylation-based chromatin compartments and ChIP-seq profiles reveal transcriptional drivers of prostate carcinogenesis, Genome Medicine, Vol:9, ISSN:1756-994X

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