Thomas Pinder

PhD student

Research Overview

My research interests lie within the field of Bayesian inference and machine learning, primarily focussing these interests in the field of spatial statistics. My PhD involves investigating the health effects arising from exposure to poor air quality. Due to the inherent data complexity involved with such analysis, part of my work involves developing scalable methods to handle large-scale data in a tractable fashion.

Selected Publications

Towards Large Scale Ad-hoc Teamwork
Shafipour Yourdshahi, E., Pinder, T., Dhawan, G., Soriano Marcolino, L., Angelov, P.P. 13/09/2018
Conference contribution/Paper

  • Bayesian and Computational Statistics
  • Statistical Learning