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.
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.
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.
Read more about my company BayesCamp here.
There has never been a more exciting time to work in data science. Cutting-edge algorithms from both the statistics and the computing worlds are coming together to crack new problems. I use methods like deep learning and random forests, but I also know there's a lot of BS out there. I can help you navigate the options, avoid being ripped off, and interpret and communicate results.
I studied mathematics, then medical statistics. 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 freelanced for organisations like DataCamp and Harvard Medical School.
Here's my interactive CV. You can get in touch through the links on the right of the menu bar above.