Kelson joined our team at the beginning of 2024 after successfully completing a master’s degree in economics at the University of Otago. In addition to economics, Kelson has a robust background in mathematics and computer science. His primary areas of interest lie in economic modelling, regulation, and competition policy.
For his thesis, Kelson delved into the field of Optimal Bayesian experimental design. Specifically, he conducted modelling and simulations, utilising large-scale numerical simulations to explore the model’s efficacy in eliciting preferences from both individuals and entire populations. Kelson’s thesis is characterised by its highly technical nature leveraging New Zealand’s supercomputing facilities, NeSI, to support his research.
Kelson possesses significant experience in the cleaning, structuring, and modelling of innovative datasets. In a former Data Scientist role, he handled biometric and health data obtained from mobile devices and mental health surveys with the aim to construct a predictive model for individuals’ mental health states by leveraging this diverse range of data sources.