Charlotte George
Co-Lead Of INTEGRATE Project - Reimagining Data Science Careers In Biomedicine
Oxford, England, United Kingdom
Summary
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Senior🎓
Top SchoolCharlotte George is a postdoctoral molecular and computational biologist with 11 years’ experience using multiomics to dissect chromatin regulation and gene expression in brain development and hormonal signalling. Based at the University of Oxford, she co-leads the INTEGRATE project to reimagine data science careers in biomedicine and coordinates the MRC-funded X-NET training network to grow cross-disciplinary talent. She combines hands-on functional genomics—ATAC-Seq, RNA-Seq, ChIP-Seq and Capture-HiC—with reproducible data-science practices and pipeline development in R/Python on HPC. A dedicated trainer, she has scaled genomic data-science teaching for postgrads, clinicians and PIs, translating wet-lab insight into computational leadership. Less obvious is her track record of shifting wet-lab biologists into computational roles through targeted fellowships and bespoke training, helping embed equitable, collaborative cultures in UK biomedical research.
11 years of coding experience
1 year of employment as a software developer
BSc (Hons) in Natural Sciences with Industrial Placement Pharmacology and Molecular Biology, BSc (Hons) in Natural Sciences with Industrial Placement Pharmacology and Molecular Biology at University of BathDoctor of Philosophy - PhD Molecular Neuroendocrinology, Doctor of Philosophy - PhD Molecular Neuroendocrinology at University of Bristol
Github Skills (27)
reproducible-research9
pipeline9
bioinformatics9
genomics9
conda8
cancer-genomics7
genomics-visualization7
component-based7
glossaries7
genome7
nlp6
science6
glossary6
seq6
viewer6
Programming languages (6)
Github contributions (5)
Charlie-George/bioinformatics_resources
Jul 2018 - Dec 2022
Contributions:66 commits, 90 pushes, 1 branch in 4 years 6 months
OBDS-Training/OBDS_Open_Workshop_Materials
May 2019 - Feb 2022
This repository contains documentation relating to how to use conda for installing bioinformatic software, creating new enviroments when you have conflicting dependences and how to use conda for reproducible research
Contributions:45 commits, 2 PRs, 55 pushes in 2 years 9 months
condainstallinggenomicsreproduciblebioinformatics
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