Daniel Wells

Molecular biologist turned statistician

I’m currently working at Genomics ltd developing, assessing, and applying statistical models to large omics datasets. My applied work covers discovery and validation of drug targets and biomarkers, as well as risk stratification for clinical trials and population health.

Previously I completed a PhD in functional genomics at the University of Oxford, in which I used unsupervised statistical learning approaches to generate new scientific hypotheses and leads from high throughput genomics experiments (thesis). Prior to that I was an experimental molecular biologist with experience in a range of biomedical fields including vaccinology/immunology, developmental biology, genome engineering, and oncology.

Some specific projects I’ve worked on:

  • Creating an atlas of which genes are turned on in which cell types and at what stage during meiosis in mice. (paper)
  • Characterisation of a specific gene that’s required for successful meiosis in male mice. (paper)
  • Creation and preclinical testing of vaccines for Ebola and MERS-Coronavirus (which went on to sucessfully complete phase I clinical trials in humans). (paper, clinical trial paper)
  • Using CRISPR genetic editing to study the developmental process in chicken embryos. (paper)