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Rendani Mbuvha is an Associate Professor in Actuarial Science at the University of Manchester. He was previously a Google DeepMind Academic Fellow at Queen Mary University of London and held an Associate Professorship in Actuarial Science at the University of the Witwatersrand. He completed his PhD at the University of Johannesburg under the supervision of renowned professors, focusing on Shadow Hamiltonian Monte Carlo Methods and Bayesian Neural Networks. His current research is concentrated on applying machine learning approaches to risk management, particularly in relation to physical climate risk. Mbuvha is a co-founder of AfriClimate AI, an initiative dedicated to enhancing climate resilience in Africa through AI. He is an author of a significant work on Hamiltonian Monte Carlo Methods in Machine Learning and is recognized as a fellow of the Institute Faculty of Actuaries and the Actuarial Society of South Africa.
University of Manchester • Manchester, United Kingdom
Teaching and researching in Actuarial Science.
Google DeepMind, Queen Mary University of London • London, United Kingdom
Research in AI applications.
University of the Witwatersrand • Johannesburg, South Africa
Teaching and research in actuarial science.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.