Rendani Mbuvha

Dr. Rendani Mbuvha is a Senior Lecturer in Actuarial Science in the Department of Mathematics at The University of Manchester. His research focuses on using machine learning approaches in risk management, with a particular emphasis on physical climate risk. He is also a co-founder of AfriClimate AI, a research community dedicated to using AI for climate resilience in Africa. Dr. Mbuvha completed his PhD at the University of Johannesburg under the supervision of Professor Tshilidzi Marwala and Dr Ilyes Boulkaibet, concentrating on Shadow Hamiltonian Monte Carlo Methods within Bayesian Neural Networks. He is a fellow of the Institute and Faculty of Actuaries and the Actuarial Society of South Africa.

Rendani Mbuvha is an Associate Professor at the University of Manchester, specializing in Markov Chain Monte Carlo, Machine Learning, Bayesian Statistics, Actuarial Science, and Climate Risk. Their research focuses on applying advanced statistical and computational methods to address complex problems in actuarial applications, financial forecasting, and climate risk assessment. Mbuvha's work includes developing machine learning models for solar irradiance forecasting, Bayesian inference for pandemic modeling, and generative adversarial networks for actuarial data. They also explore Hamiltonian Monte Carlo methods for Bayesian neural networks and causal structure learning in public health contexts. Their research emphasizes data-driven approaches to improve predictive accuracy and decision-making in high-stakes domains.