By Sabine Vuik, Policy Fellow and Head of Analytics, Centre for Health Policy, Institute of Global Health Innovation
Big data and advanced data mining methods are becoming a crucial element of everyday life, business and research. The new insights that these methods can provide have allowed many different industries to find new opportunities, products and markets.
The new EPSRC Centre for Mathematics of Precision Healthcare which will launch on Wednesday 23rd November, aims to bring these methods into healthcare.
Precision Healthcare uses big data and mathematics to provide unprecedented insights into individual and population health. The Centre will link up mathematical, computational and medical departments from Imperial, to bridge traditional silos and drive innovation in this area.
By Joshua Symons, Policy Fellow, Big Data & Analyitcal Unit, Centre for Health Policy
On the 8th and 9th October, I had the opportunity to attend the Open Data Science Conference in London. In addition to the United Kingdom, the ODSC also occurs on both the East and West Coast of the US, as well as Tokyo. The 2-day conference had an array of speakers presenting problems and solutions they have worked on as data scientists. It was an opportunity to meet some of the leaders in the field of data science such as Gael Varoquaux. Gael is a core contributor to the popular Python machine learning resource scikit-learn and he spoke about the new and existing features of this package which help ensure rapid development in data science.