Paul Muñoz

Water & Climate Science · AI · Remote Sensing

Paul Muñoz

Integrating process-based knowledge with artificial intelligence and remote sensing to enhance understanding and prediction of water and climate extremes.

Chimborazo, Ecuador
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Research

ML + process-based hydrology, flood forecasting, remote sensing, and climate extremes.

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Teaching

Hands-on learning with Jupyter Notebooks, open tools, and FAIR principles at the core.

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Open Science

Reproducible workflows, open code, and collaborative science through GitHub.

Oct 2025 – present
Current
Associate Professor
Dept. of Water Resources · Universidad de Concepción, Chile
May 2024 – Oct 2025
Past
Postdoctoral Researcher
HYDR · Vrije Universiteit Brussel, Belgium
2023 – 2024
Past
External Consultant — Drought & Food Security
FAO · United Nations
Dec 2019 – Apr 2024
Past
Doctoral & Postdoctoral Researcher
Dept. Water Resources · Universidad de Cuenca
2019 – 2023
Ph.D. in Water Resources · Universidad de Cuenca, Ecuador
Towards the improvement of machine learning peak runoff forecasting by exploiting ground- and satellite-based precipitation data: A feature engineering approach.
2016 – 2018
MSc. in Water Resources Engineering · KU Leuven & VUB, Belgium
Flash-flood forecasting in an Andean mountain catchment — development of a step-wise methodology based on the random forest algorithm.
2009 – 2015
Bachelor's in Civil Engineering · Universidad de Cuenca, Ecuador
Effect of the resolution of tipping-bucket rain gauge and calculation method on rainfall intensities in an Andean mountain gradient.
Download CV — last updated October 2024