Accelerated in vitro skin graft. By V Jayarajan, 2022.

Spatial transcriptomics annotation. By G Hall, 2024.

Stem cell colonies expressing involucrin. By V Jayarajan, 2022.

Accelerated in vitro skin graft. By V Jayarajan, 2022.

1/7

Translational Genomics

We work at the interface of research and translation, with many ongoing clinical collaborations. We rely on experimental and computational genomics to advance our translational research but do not shy away from other approaches.

We also contribute to the academic leadership of the Genomic Medicine Theme in the NIHR GOSH Biomedical Research Centre (BRC), and have a growing interest in the impact of AI to genomic diagnosis and treatment. Further, we contribute to genomic services, providing academic leadership to UCL Genomics, the GOSH BRC CRISPR Centre and the Genomics Science Technology Platform at UCL. Finally, we teach computational genomics in our MSc in Personalised Medicine and Novel Therapies.

We also occasionally provide consultations on all things genomics.

If you are interested in what we do, please check our job openings or consider applying to a fellowship with us.

View Jobs

Research Interests

We are interested in accelerating the diagnosis, prognosis, treatment and modelling of various rare diseases and cancers in children. To this end, we leverage established and novel genomic technologies and their computational analysis, to explore new clinical possibilities.

We are particularly keen on translational approaches at single-cell and spatial resolution, which we apply to assess disease heterogeneity and the quality of new disease models, tissues and organs. AI has become increasingly important for this. We also assess genomic risks from new therapies, including the unwanted acquisition of deleterious mutations when engineering new tissues, editing genomes or introducing new genes. Further, we apply population genomics and support metagenomic approaches to understand micronutrient deficiencies in global health as well as infection.

In this regard, we have supported the tracking of mutations in the spread of COVID-19 in the UK, through genomic sequencing.

Learn More