Dr Lucy Stead

University Academic Fellow in Cancer Research

0113 3438410

Summary: Computational cancer biologist and lead of the Glioma Genomics group

Location: Wellcome Trust Brenner Building St James

Teaching Commitments: MEDM5101 MEDM5221


I am a computational cancer biologist interested in the use of high-throughput sequencing to characterise tumour genomes and transcriptomes, and the integrated analysis of datasets to further understand the development and progression of brain cancer. My research focuses on inspecting genomic and transcriptomic heterogeneity present within brain tumours and across stages of brain cancer development and progression. I believe that the most biologically and clinically relevant inferences come from continual iteration of computational and wet-lab approaches, and this is the remit within my group.

I am interested in investigating intratumour heterogeneity in glioblastoma (GBM); specifically I wish to test whether treatment-resistant subclones emerge in recurrent tumours, and characterise them in clinically relevant ways in multiple patients. I am a trained computational biologist with expertise in next-generation sequencing data analysis.