Heather Robinson is a health data analyst with interests in epidemiology, child health and population genetics. Her past projects with The University of Manchester included characterizing trajectories in UK child measurements, validating medical algorithms based on electronic patient data, and promoting reproducibility in epidemiological research.
In statistically profiling the growth of children in primary education, Heather is interested in advancing our understanding of which children are at the highest risk of developing adult obesity, and to ascertain how we can effectively safeguard their future health.
Heather works with algorithms used to characterise disease progression in patients, using routinely collected information from their electronic patient records. Her interest is in determining whether this can be further exploited in an epidemiological context to compare the disease burdens of different patient groups.
Heather's former work has been diverse, including ecological and microbiological projects, DNA analysis and bioarchaeology. She is now based in The Channel Islands, where she works on a freelance basis providing analytical solutions, and teaching and tutoring in programming skills.
Heather Robinson is a former member of the School of Health Sciences , part of the Faculty of Biology, Medicine & Health. She holds a BSc in Microbiology and Genetics (University of Sheffield, 2007), a MSc in Evolutionary Genetics (The University of Manchester, 2010) and a PhD in Genetics (The University of Manchester, 2016), and has experience within the pharmaceutical industry. Heather co-organised the R at Univerity of Manchester user group (RUM), and was a member of the ATHENA SWAN self assessment team for the School of Health Sciences.