Photo of Dr Pietà Schofield

Dr Pietà Schofield Ph.D.

Postdoctoral Research Fellow Public Health, Policy & Systems

About

Personal Statement

I am a post-doctoral research fellow working on the use of routinely collected health care data in addressing health inequalities. For my first 3 years at the University of Liverpool this focused in particular the use of Clinical Practice Research Datalink (CPRD) data using linked dataset.

However I have a broad background in computational mathematics and modelling having experience in bioinformatics, computational and experimental ecology, data analysis and programming and mathematical modelling while working in research from 1999 until my present post

Previous Research Experience

- 2016 to 2019: Computational Biologist (Statistical Genomics), Cancer Research UK Manchester Institute, University of Manchester I was employed in the Computational Biology Support Group mainly working on high throughput sequencing data for the groups within the institute.
- 2009-2016: Data Analyst, Dundee University I worked in the Data Analysis Group in the lab of Prof Geoff Barton in the Division of Gene Regulation and Expression and subsequently the Division of Computational Biology at The University of Dundee. Mainly working on NextGen sequencing and Image Analysis
- 2005-2008: Post Doctoral Research Engineer, University of Dundee the Divison of Plant Sciences in Prof Hamlyn Jones’ lab working on on thermal imaging for the detection of plant stress and control of automated irrigation systems.
- 2002 - 2005: Wellcome Trust Training Fellowship In Mathematical Biology, University of Dundee This was a fellowship to take lab scientist and give them exposure to theoretical and mathematical techniques or in my case take a theoretician and give them exposure to lab science. I spent a fantastic 4 years looking at the molecular ecology of host parasitoid systems in an attempt to discover methods for measuring movement and dispersal.
- 1999 - 2002: BBSRC PhD Studentship, University of Dundee Evolutionary individual based modelling approaches to examine the infection dynamics of the sex ratio distorting arthropod endosymbiont Wolbachia. Jointly in the Department of Mathematics and Department of Environmental and Applied Biology supervised by Professor Mark Chaplain and Dr Stephen Hubbard.

Prior to 1999 I worked in industry variously as a computer systems manager, data analyst and programmer for 15 years in both the pharmaceutical and financial sectors and as a freelance analyst.

Funded Fellowships

  • Training Fellowship In Mathematical Biology (Wellcome Trust, 2002)