I joined Imperial in April 2008 and am in charge of data management within the college’s Bioinformatics Data Science Group (BDSG). My role is to provide data and software support for high throughput biological experiments performed within Imperial. I have been involved in providing software and hardware support for science for over 15 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 with the BDSG, 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 Facultys of Natural Sciences and Medicine, have many exemplar projects that I can demonstrate and can provide testimonials from satisfied clients. Please contact me if you want an informal discussion about how the BDSG could solve your data problems.
et al., 2019, Imminent death: Clinician certainty and accuracy of prognostic predictions, Bmj Supportive & Palliative Care, ISSN:2045-435X
et al., 2019, An online international comparison of thresholds for triggering a negative response to the “Surprise Question”: a study protocol, Bmc Palliative Care, Vol:18, ISSN:1472-684X
et al., 2019, Protocol for the ORaClES study: an online randomised controlled trial to improve clinical estimates of survival using a training resource for medical students, Bmj Open, Vol:9, ISSN:2044-6055
et al., 2018, How do palliative care doctors recognise imminently dying patients? A judgement analysis, Bmj Open, Vol:8, ISSN:2044-6055
et al., 2018, Molecular phenomics and metagenomics of hepatic steatosis in non-diabetic obese women (vol 24, pg 1070, 2018), Nature Medicine, Vol:24, ISSN:1078-8956, Pages:1628-1628