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mmorenoz/README.md

Hi there, I am Mateo! 👋

Researcher specializing in environmental modeling 🏔️🔥🌍, with a strong background in data-driven methods. My expertise spans data science, GIS, remote sensing, and numerical modeling, which I apply to analyze the spatial and temporal dynamics of land cover and hydro-meteorological hazards such as landslides, debris flows, and wildfires, from global to local scales.

I completed my PhD on landslide and wildfire dynamic modeling in the Italian Alps using interpretable data-driven frameworks, as a joint project between University of Twente and Eurac Research. I currently work as a postdoctoral researcher at the OpenGeoHub Foundation, contributing to global land cover mapping.

I am keen to understand Earth surface dynamics and eager to collaborate on solutions for land system analysis and hazard prediction.

I mostly code in:

Python R Bash

Find me at:

LinkedIn ResearchGate Google Scholar

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  1. wildfire-early-warning wildfire-early-warning Public

    Dynamic wildfire modeling with applications to early warning

    R 1

  2. FGAM_LandslidePrecipitation FGAM_LandslidePrecipitation Public

    Dynamic landslide prediction using hourly precipitation time series as a functional predictor

    R 3 1

  3. GAM_LandslideSize GAM_LandslideSize Public

    Modeling the size of co-seismic landslides via data-driven models: the Kaikōura's example

    R 14

  4. Workshop_Colombia Workshop_Colombia Public

    Torrential flow susceptibility modeling in Colombia

    R 2 3

  5. landslide-rainfall-spacetime landslide-rainfall-spacetime Public

    Space-time data-driven modeling of precipitation-induced shallow landslides in South Tyrol, Italy

    R 1