Dominic Steinitz is a mathematician / statistician / functional programmer who has worked as a statistician in medical research,market research and computer network modelling before moving into running large IT projects in the airline industry and large information security projects in banking.
He has been writing in Haskell for over 20 years, contributes regularly to the Haskell community and has worked professionally on embedded domain specific languages in Haskell for web analytics and exotic financial derivatives. He completed Part III of the Mathematical Tripos at Cambridge specialising in mathematical statistics and has a Ph.D. in Computer Science. He is currently using control theory and Bayesian statistics in developing a medical device.
Talks I've Given
Gibbs Sampling: Some Theory and Some Practice
Featuring Dominic Steinitz
This talk introduces the Metropolis-Hastings Algorithm and Gibbs Sampling describing some of theory and giving some very simple examples from statistics using Haskell, JAGS (via R) and STAN (via R)and a more complex example from physics (the Ising Model).haskell