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Dr Oliver Davis

Dr Oliver Davis

Dr Oliver Davis
BA(Cantab.), MSc(Nott.), MSc(Kings College London), PhD(Kings College London), PGCert(Kings College London)

Reader in Statistical Genetics

Area of research

Mental health data science: digital epidemiology, genomics and visualisation

Office OS13
Oakfield House,
Oakfield Grove, Clifton BS8 2BN
(See a map)

+44 (0) 117 3310069


Genetic variation affects all complex human traits and disorders. However, which DNA variants affect us and how they have their effect depends on the environmental and developmental context. For example, some genetic influences may be apparent only in childhood, or only in the centre of large cities. Our lab uses emerging technologies to collect, analyse and visualize data from large population samples around the world, exploring the dynamic relationship between genotype and phenotype in humans.

We use techniques such as twin model-fitting and genome-wide analysis of ‘omics data, as well as developing our own new statistical and visual analysis approaches. Recent projects from the lab include studies showing increasing genetic influence across time for cognitive abilities, the spACE project which is mapping the world’s genetic and environmental hotspots for complex traits, and the EMBERS project which is collecting millions of tweets from thousands of participants to track dynamic genetic and environmental influences on mood in emerging adulthood.


Oliver read Natural Sciences at the University of Cambridge before studying for an MSc and PhD in social, genetic and developmental psychiatry at the MRC SGDP Centre, King’s College London. After his PhD, he was awarded a Sir Henry Wellcome Fellowship by the Wellcome Trust, spending time at the Wellcome Trust Centre for Human Genetics at the University of Oxford and the European Bioinformatics Unit near Cambridge. Towards the end of his fellowship he established a new lab at UCL in London, before moving to Bristol in 2015. In 2018, Oliver became a Fellow of the Alan Turing Institute, the UK's national institute for data science and artificial intelligence.


  • mental health data science
  • digital epidemiology
  • behavioural genetics
  • data visualisation


  • social media analysis
  • spatial analysis
  • genome-wide association
  • structural equation modelling
  • machine learning
  • data visualisation



Bristol Medical School (PHS)

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