Summary
I joined Imperial in April 2008 and I provide data and software support for high throughput biological experiments performed within Imperial. including the Imperial Hospitals Trust Tissue Bank. I have been involved in providing software and hardware support for science for over twenty five years and during this time I have worked variously with Psychologists, Economists, Physicists, Health Care Professionals, Computer Scientists and Biologists. In 1999, I was a part of the team that designed the 3G spectrum auction for mobile phone frequencies that eventually netted the UK government over £20 billion in revenue. I graduated with an MSc in Knowledge Based Systems from Heriot Watt University in 1993 and a Ph.D. in Parallel Computing from UCL in 1999.
In my role in the Faculty of Medicine, I can help you to manage your research data effectively. This could be by building bespoke databases, analysis pipelines and / or data visualisations or by recommending software products that will enable you to get the most out of your data. Over the years, I have worked with many different research groups within the Faculties of Natural Sciences and Medicine, have many exemplar projects that I can demonstrate and can provide testimonials from satisfied clients.
Publications
Journals
Bruun A, White N, Oostendorp L, et al., 2022, An online randomised controlled trial of prognosticating imminent death in advanced cancer patients: Clinicians give greater weight to advice from a prognostic algorithm than from another clinician with a different profession, Cancer Medicine, ISSN:2045-7634
White N, Reid F, Vickerstaff V, et al., 2022, Imminent death: Clinician certainty and accuracy of prognostic predictions, Bmj Supportive & Palliative Care, Vol:12, ISSN:2045-435X, Pages:e785-e781
Hoyles L, Mayneris-Perxachs J, Cardellini M, et al., 2021, Iron status influences non-alcoholic fatty liver disease in obesity through the gut microbiome, Microbiome, Vol:9, ISSN:2049-2618, Pages:1-18
Brezovjakova H, Tomlinson C, Mohd Naim N, et al., 2019, Junction Mapper is a novel computer vision tool to decipher cell-cell contact phenotypes., Elife, Vol:8, ISSN:2050-084X, Pages:1-48
White N, Oostendorp LJM, Tomlinson C, et al., 2019, Online training improves medical students' ability to recognise when a person is dying: The ORaClES randomised controlled trial, Palliative Medicine, Vol:34, ISSN:0269-2163, Pages:134-144