Personal profile

Biographical details

Expertise & Interests

- Translational Bioinformatics
- Health Informatics
- Applied Predictive Modelling & Machine Learning
- Biostatistics & Genetics
- Next Generation Sequence Analysis & Personalised Medicine
- Drug repositioning
- Biomarker discovery
- Open Science
- Data Science

I studied Molecular Biology at The University of Liverpool then went on to complete a Ph.D. in Genetics at Queen Mary University of London. Currently, I’m employed as Lead Data Scientist (yak shaver..) and Senior Bioinformatician at The Bioinformatics Core at the NIHR Biomedical Research Centre for Mental Health, Kings College London.

I have 16 years experience in dealing with all kinds of Data - from molecular, genetic and clinical, cross-sectional and time-series data - and then putting it all together to identify potential biomarkers for disease prediction and progression, novel therapeutic targets, and contribute to a better understanding of human disease. I have a keen interest in the potential of Genomic and Personalised Medicine, and the education of patients and the public in these areas.

I’m a highly motivated, self-taught and always learning “Data Scientist”, and looking for a focused, honest and enthusiastic team to work with. Ideally, I am looking for a role where I can use my skills to contribute to and drive forward real-world translational science, and help make an impact on public health, nationally and globally.

I have a wide range of experience in the analysis of expression and SNP arrays, next generation sequencing data and network/pathway analyses. My work has required the extensive use of multiple bioinformatic and biostatistical approaches for the creation and implementation of pipelines for mixed ‘omic data analysis, data integration, and visualization, and applied predictive modelling.


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Genetics, Doctor of Science, Queen Mary University of London

Award Date: 20 Jun 2016


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