My name is Estevão Prado and I'm a senior research associate in statistical machine learning in the Department of Mathematics & Statistics at Lancaster University under a fellowship partnered with The Alan Turing Institute. I work with Professor Christopher Nemeth on the development of novel scalable Markov Chain Monte Carlo (MCMC) methods for large datasets.
I completed my PhD in Statistics at Maynooth University (Ireland) under the supervision of Professor Andrew Parnell and Dr. Rafael Moral where I worked on extensions to probabilistic tree-based machine learning algorithms. I hold an MRes in Statistics from the Federal University of Minas Gerais (Brazil) and a first-class honours Bsc in Statistics from the Federal University of Paraná (Brazil).
My main research interests lie in tree-based methods, Bayesian non-parametric regression, MCMC and computational statistics. Besides academia, I worked as a data scientist for 3.5 years at Bradesco and HSBC banks with statistical modelling for credit purposes. My programming background involves advanced knowledge of R (+10 yr), SAS (+5 yr), SQL (+5 yr) and, more recently, an intermediate level of Python.