Steven Kiddle

Steven Kiddle

Dr

  • 3807
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Personal profile

Biographical details

I am an interdisciplinary biomedical researcher trained in biostatistics, machine learning, maths and biology. Currently I hold a MRC Biostatistics training fellowship, which I am using to study the progression of Alzheimer's disease and how knowledge of this can be used to inform trial design.

My future work will involve Bayesian approaches to modelling heterogeneity in disease progression. These approaches will allow greater sub-typing of diseases, allowing stratified medicine approaches. This work will leverage disease progression marker data from prospective cohort studies, clinical trials and Eectronic Health Records (EHR).

In the long-term I am interested in contributing to the design of Learning Healthcare Systems (www.learninghealth.org), that automatically generate biomedical evidence during routine care. I believe that approaches I develop will be an important component of this, but I am also collaborating with researchers developing the software infrastructure necessary for automated comparative effectiveness research, a cornerstone of the Learning Healthcare System.

For other information you can look at my linkedin profile http://uk.linkedin.com/pub/steven-kiddle/36/80a/568

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Doctor of Philosophy, Systems Biology - Using systems biology approaches to elucidate gene regulatory networks controlling the plant defence response, University of Warwick

Award Date: 1 Jan 2012

Master of Science, Systems Biology (Distinction), University of Warwick

Award Date: 1 Jan 2008

Bachelor of Science, Mathematics, University of Warwick

Award Date: 1 Jan 2007

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