Georgette Tanner is a bioinformatician with eight years' experience applying multi-omic and machine learning methods to cancer biology, now working at Oxford Nanopore Technologies. She led transcriptomic and epigenetic analyses as a senior postdoc on glioblastoma, supervising researchers and forging cross-disciplinary collaborations including a nano-biopsy project to extract mRNA from living cells. Her PhD on intratumour heterogeneity earned a Research Excellence Award and produced high-impact publications (including first-author papers in Bioinformatics and Nature Communications). Comfortable bridging wet- and dry-lab teams, she focuses on method development that translates complex single-cell and bulk data into actionable biological insight.
8 years of coding experience
4 years of employment as a software developer
BSc Biology, BSc Biology at University of Leeds
MRes, Post-Genomic Biology, MRes, Post-Genomic Biology at University of York
Simulates genomes for multiple related clones in a heterogeneous tumour, along with a matched germline genome.
Contributions:1 release, 66 commits, 57 pushes in 3 years 3 months
Find and Hire Top DevelopersWeāve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.