Danielle Newby

I am early career researcher with an interdisciplinary background in informatics, machine learning and pharmacology. Since April 2016, I have been working as a post-doctorate researcher in the informatics team of the Translational Neuroscience and Dementia Research Group led by Simon Lovestone.

My main areas of research within the team involve the analysis of medical electronic health record (EHR) datasets from a variety of different countries in order to characterise the role of certain diseases, their risk factors and drug treatments with dementia risk and cognitive decline. By understanding these relationships this will provide an evidence base to support public health intervention for dementia prevention. Furthermore, my research also entails using both EHR and molecular data to identify novel drug targets as well as drug repurposing for potential therapeutics for dementias such as Alzheimer's disease.

My previous research position concentrated on investigating longevity effects of chemical and pharmacological compounds on nematode worms using cheminformatics. In addition, I have worked on human and rat ageing and fitness gene expression studies using machine learning and bioinformatics methods. This previous experience built on my PhD research where I utilised machine learning and statistical methods to predict oral absorption of pharmacological compounds.