The Agile Data Meet Up... continued!

Hi All,

We are really looking forward to seeing you all again next week. Here are all of the details you need on our speakers and talks.

6pm

Jem Rashbass, National Director for Disease Registration and Cancer Analysis in Public Health England and the PHE Cancer Lead.

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Jem Rashbass studied medicine at University College London, was a graduate student of Professor Sir John Gurdon in Cambridge, then trained in diagnostic pathology. He has worked on large-scale healthcare data systems for the last 25 years in a variety of different settings - first as an academic, then through national policy and within the health service. In his current role he is responsible for 350 staff in the National Disease Registration Services in England.

He is the founder of Clinical and Biomedical Computing Ltd., which develops and delivers the online service “Medicines Complete” for the Pharmaceutical Press; this includes the British National Formulary, Martindale Drug Reference and Merck Index. In 2011 he launched a social enterprise, Health Data Insight C.I.C. to act as an ethical information intermediary for health data.

6.40pm

Jason Ward, Principal Data Scientist, Valtech.

Using VAT returns to help measure GDP

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Jason studied physics at Cambridge and then did a PhD at University College London, working on the OPAL Collaboration at the European Centre for Particle Physics (CERN) in Geneva. He stayed in particle physics for a further 6 years, working on the ALEPH Collaboration as a postdoc at the University of Glasgow and a Fellow of CERN. He worked on what was, at the time, the most precise measurement of the mass of the W Boson, which is one of the force-carrying particles, as it was helping to predict the mass of the Higgs Boson. He subsequently worked as a Quant in the Hedge Fund sector, modelling and predicting the financial markets.

7.20pm

Johnnie Ball, Chief Data Scientist at Fluidly

Intelligent Cashflow - Building a Small Business Autopilot using AI

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Having spent his early career as an interest rates trader in an major investment bank Johnnie decided to move back to academia to study Computational Statistics and Machine Learning at UCL. From UCL Johnnie held positions as a data scientist at a hedge fund, an energy company and as a cohort member at deep-tech startup accelerator Entrepreneur First. Johnnie is now settled at Fluidly, where he's bringing together a world class data team to build an intelligent cashflow engine that will save small businesses worry, time and money. Fluidly applies machine learning to transaction data from cloud accounting packages and bank accounts to automate the forecasting, optimisation and protection of cashflow.

Details of Johnnie's talk will also follow in the next couple of days.

Looking forward to seeing you all again on the 16th,

Dan