Training & coaching
I started my own company, BayesCamp, in 2017 to provide training in Bayesian analysis and data visualisation. I also do one-to-one coaching for people who want to build a data science career. The way statistics is taught is changing, and I follow those developments to give the best learning experience. I draw on machine learning and statistics and encourage deep understanding for problem solving. Visit the BayesCamp website to see if there's something that would interest you.

If you analyse data, you need to communicate as well as calculate. I teach the principles of good data visualisation, how it links to good statistics, and how to make visualisations ready for publication, and interactive graphics and maps ready for the web. My book "Data Visualization: charts, maps and interactive graphics" is out on CRC Press, as part of the "Statistical Reasoning in Science and Society" series with the American Statistical Association. BayesCamp does small workshops on specific dataviz tasks.
I am running a series of webinars on analytical considerations behind great dataviz in Feb-March 2019.

Bayesian methods give us intuitive measures for complex problems. New software and parallel or cloud computing can provide answers in a fraction of the time. If you're not using Bayes, you're stuck in the past.
I provide training in thinking about Bayesian models, communicating findings, and fitting them in Stan, BUGS, JAGS, R and Stata.
I am running a series of webinars on Bayesian analysis and software you can use for it, in Feb and March 2019.

I am a statistician specialising in data visualisation and Bayesian modeling. I provide freelance training courses, and one-to-one coaching to build your data science career. I teach analysts from stats and machine learning backgrounds, visualisation/design people, economists, civil servants, journalists and more. I'm especially interested in helping managers responsible for data science activities who don't come from that background themselves.

I studied mathematics, then medical statistics, then a load of weird Bayesian stuff. I've worked for St George's Medical School, Kingston University, the Royal College of Physicians and the National Institute for Health and Care Excellence. I've taught at organisations like the Cabinet Office, The Economist, DataCamp, Harvard Medical School, Monitor, University College Cork...

Here's an interactive CV. You can get in touch through the links on the right of the menu bar above.

On the road:

Come and say hello if you are at one of these events.

  • CogX, London, 11 Jun 19, sniffin' around the stalls for interesting new products and any goodies
  • Advanced Data Visualisation meetup, London, 11 Jun 19, receiving pearls of wisdom, beer 'n' pizza and networking like a fiend
  • Intl Workshop on Computational Economics and Econometrics, Rome, 3-5 Jul 19, invited talk on visualisation for spatial data
  • StanCon, Cambridge, 22-23 Aug 19, hopefully talking on non-parametric Bayesian updating
  • RSS conference, Belfast, 3-4 Sep 19, co-organising a session on education and maybe giving a poster on dichotomised outcomes in meta-analysis
  • Stata conference, London, 6 Sep 19, talking about Stata2D3 to make interactive graphics in the browser
  • Open Data Institute summit, 12 Nov 19, listening and learning and trying to look one tenth as cool as the ODI folk
  • Big Data LDN, 14 Nov 19, sniffin' around the stalls for interesting new products and any goodies
  • RSS Glasgow group, 2 December 19, a festive data visualisation workshop, possibly called Strictly Come Visualising
  • Data visualisation in-depth course, Physalia courses, Berlin, 9-13 Dec 19
  • BayesComp, Gainseville FL, 8-10 Jan 20, giving a pre-conference "Intro To Stan" course, and learning from the great and good
  • National Perinatal Epidemiology Unit, Oxford, spring 20, talking about dataviz
  • Summer school on statistical methods, linguistics and psychology, University of Potsdam, 7-11 Sep 20, keynote