
Biography
In my role as a Postdoctoral Research Scientist, I have expertise in both ‘wet lab’ and ‘dry lab’ techniques associated with comparative, regulatory, and functional genomics of various vertebrate and health-related systems.
In the context of vertebrate evolution, my research focuses on vertebrate regulatory evolution and its contributions to biological diversity. For this, I utilise the remarkable power of arguably one of the most dramatic examples of adaptive speciation, the East African cichlid fish radiations. In this respect, I have been generating and using regulatory data (transcriptome and epigenetic) to identify drivers of tissue-specific regulation and evolution in cichlid fish using systems biology and integrative approaches. In a separate project, I look to study smaller, simpler cichlid systems (instead of the large, complex East African cichlid radiations) to understand the molecular mechanisms driving adaptation to stressful environments.
In the context of health, I have closely collaborated with members of the UEA Norwich Medical School to apply low-input RNA-Seq chemistry to study leukemia driven transcriptional reprogramming of the bone marrow microenvironment.
Publications
Related reading.

Artificial realities: copying wild microbial communities in the lab

New insights into resistance to antimicrobials could stop bacteria in their tracks

Excellent science? It’s in the technical detail

Finding fungi at the fen

The genetic machinery that drives biodiversity

On the origin of errors: the causes and consequences of mistakes during DNA replication

Could long-read RNA sequencing be the future of drug discovery?

Why is genome annotation important?

Key tilapia genome offers boost to global food security

Exotic wheat DNA could help breed ‘climate-proof’ crops

Sequencing project to unleash the huge potential of euglenoids

Circadian clock insights could be key to increased wheat yields

European consortium launched to reverse biodiversity loss through genomics research

Tracking bacterial evolution in real time spots emergence of antimicrobial resistance

Big Data initiative awarded £6.3 million as part of major UKRI investment in research infrastructure
