Damian MINGO NDIWAGO

Damian is a doctoral researcher at the University of Luxembourg. He studies uncertainty in eco-hydrological models. His work consists of making Bayesian model comparison of such models and prior impact assessment in the context of open science. He is part of the Doctoral Training Unit, Data-driven Computational Modelling and Applications (DRIVEN). His project involves supervisors at LIST (Stan and Remko) and the Department of Engineering (Jack Hale). He obtained a master's in statistics at KU Leuven, Belgium. Check his publications below to get deeper insights of the research.

Research description

  • Ecohydrology
  • Dynamic models
  • Bayesian inference
  • Bayes factor
  • Thermodynamic integration and replica exchange Hamiltonian Monte Carlo

Illustration of recent simulations

Coming soon!

Recent publications

Talks

  1. Using replica exchange Hamiltonian Monte Carlo and thermodynamic integration for comparison of dynamic rainfall-Runoff models in Luxembourg - Waseda Conference on Modelling and Inference for Complex Data, Esch-sur-Alzette (Luxembourg), January 23-25 2023

Nationality

Cameroonian

Spoken languages

    English

Favorite quotes

    "Some worry about things they don't know exist, while others worry about things they know they don't know"

Contact

    Campus Office: MNO, E04
    Email:
    LinkedIn:
    GitHub: