Personal profile
Overview
I am a Doctoral Researcher at the Department of Statistics, University of Manchester. My PhD project is on causal inference methods for assessing the impacts of climate change on health via mediators (e.g. economy). I am particularly developing causal models for mitigating spatial interference and spatial confounding simultaneously while estimating both direct and mediated effects. Prior to my study at University of Manchester, I obtained double master's degrees in Statistics at University of Leeds, United Kingdom and Federal University of Agriculture, Abeokuta. My previous research centred on developing Probability Distributions for modelling lifetime data, Time Series modelling, and Computational Statistics. I am currently working on causal models improvement and novel methods development with applications in relevant scientific disciplines.
Research interests
I am interested in Causal Inference, Spatial Statistics, Health Statistics, Clinical trials methodological development and General Statistics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Keywords
- Computational Statistics
- Bayesian Statistics
- Distribution Theory
- Causal inference
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