Paul Muñoz

👋! I’m a hydrology and AI researcher developing tools and models for hydrological forecasting and climate applications. My work bridges advanced artificial intelligence, remote sensing, and applied science to solve real-world water challenges.

Current and Past Positions

May 2024 - Present: Postdoctoral researcher at the Department of Water and Climate (HYDR) at the Vrije Universiteit Brussel, Belgium.
2023 - 2024: External Consultant at Food and Agriculture Organization-FAO (United Nations). Specialist in the evaluation of drought impacts on agricultural production and food security.
Oct 2018 - April 2024: Post- and doctoral researcher at Department of Water Resources and Environmental Sciences at Universidad de Cuenca.

Education

2019 – 2023: Ph.D. in Water Resources
University of Cuenca, Cuenca, Ecuador
Thesis: 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, Leuven, Belgium
Thesis: 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
University of Cuenca, Cuenca, Ecuador
Thesis: Effect of the resolution of tipping-bucket rain gauge and calculation method on rainfall intensities in an Andean mountain gradient.

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Last Updated: October 2024

Current and Past Positions

Education

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