Rendani Mbuvha

Rendani Mbuvha

Dr

  • Department of Mathematics, The University of Manchester, Alan Turing Building, Oxford Road
    M13 9PL Manchester

    United Kingdom

Accepting PhD Students

Personal profile

Overview

Dr. Rendani Mbuvha is a Senior Lecturer (Associate Professor) in Actuarial Science in the Department of Mathematics. Previously, he was a Google DeepMind Academic Fellow at Queen Mary University of London and an Associate Professor in Actuarial Science at the University of the Witwatersrand. He 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. His research focuses on using machine learning approaches in risk management, with a particular focus 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, and the author of "Hamiltonian Monte Carlo Methods in Machine Learning". Dr. Mbuvha is a fellow of the Institute and Faculty of Actuaries and the Actuarial Society of South Africa.

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):

  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land
  • SDG 17 - Partnerships for the Goals

External positions

Visiting Associate Professor, University of Witwatersrand, Johannesburg

1 Jan 2025 → …

Research Fellow, United Nations University

2024 → …

Areas of expertise

  • QA75 Electronic computers. Computer science
  • machine learning
  • actuarial science
  • climate impacts

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Collaborations and top research areas from the last five years

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