Since November 2020, I have been working as a Research Fellow in the Genetics and Genomic Medicine Department at the UCL Great Ormond Street Institute of Child Health. As a member of the Institute’s Biomedical Resarch Centre, I have been using single-cell transcriptomics and machine learning to carry out translational research across a number of projects.
I am co-first author on a paper that examines the effects of applying a drug (ROCKi) to accelerate the growth of skin sheets grown in the lab. This is essential for treating genetic skin disorders with gene therapy in the clinic. This work centred around using single-cell transcriptomics to assess whether accelerating growth has an adverse effect on the quality of the resulting skin sheet. Short-Term Treatment with Rho-Associated Kinase Inhibitor Preserves Keratinocyte Stem Cell Characteristics In Vitro.
I am leading the analysis and algorithm development in a number of other single-cell transcriptomics projects that are currently unpublished:
- Machine learning methods to detect transcriptomic regions of similarity between two conditions.
- Characterisation of CAR-T cells to improve our ability to use them to treat leukemia.
- Characterisation of different types of stem cells.