I am a Research follow within the research group “Machine Learning in Sustainable Energy Systems” within the Cluster of Excellence – Machine Learning for Science at the University of Tübingen.

My current research focuses on the application of predictive modeling techniques to estimate the future amount of electricity that can be generated, with particular attention to the impact of extreme weather events. These events often introduce significant uncertainties in forecasting electricity generation from renewable sources such as solar energy.

Interests
  • Probabilistic Machine Learning
  • Machine Learning for climate impact research
  • Machine Learning for solar energy Forecasting
  • Sustainablity and Climate Science
Education
  • MSc in Mathematical Sciences, 2025

    African Institute for Mathematical Sciences, Limbe Cameroon

  • Msc in Physic, 2023

    University of Dschang

  • BSc in Physic, 2021

    University of Dschang