معرفی
Charlotte George is a Computational Biologist and Genomic Data Science Trainer at the MRC WIMM Centre for Computational Biology, part of the University of Oxford. Her research focuses on understanding the molecular dynamics of transcriptional regulation in mammalian tissues under developmental, hormonal, and circadian influences. She holds a PhD in molecular biology and completed an MRC Training Fellowship in Computational Biology (2014–2017) under Prof. Chris Ponting and Dr. Andreas Heger.
Education & Training:
- PhD (focus: transcriptional effects of glucocorticoids in the brain)
- MRC Training Fellowship in Computational Biology (CGAT programme)
Research Interests: She investigates chromatin architecture, gene expression dynamics in the brain, and integrates genomic datasets (RNAseq, ChIPseq, ATACseq). Her work emphasizes computational tools like CGAT-core for reproducible workflows. She advocates for computational skill development in biological researchers to enhance data analysis rigor.
Key Contributions: Her studies on ultradian glucocorticoid effects, HSP90 chaperone cycles, and Mycoplasma hyorhinis chromatin accessibility highlight her expertise in endocrinology, epigenetics, and bioinformatics.
Awards:
- MRC Training Fellowship in Computational Biology
Teaching & Advocacy: She trains researchers through the Oxford Biomedical Data Science Programme, addressing challenges in transitioning to computational methods. Her focus on reproducible workflows and data stewardship underscores her commitment to research quality.
Labs/Teams: Affiliated with the Sims Group: Computational Genomics and the MRC WIMM Centre for Computational Biology.