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 interests

#bayesian-statistics#ecohydrology

Recent publications

Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo and Thermodynamic Integration
Damian Mingo Ndiwago; Remko Nijzink; Christophe Ley; Jack HALE in EGUsphere [preprint] (2024)