Research

I develop hybrid modelling frameworks that combine process-based models with machine learning to bridge spatial and temporal scales in land surface processes. My current work combines mechanistic insights from biogeochemistry with data-driven methods to link local observations to regional and global patterns.

I'm also interested in the intersection of complex systems, graph neural networks, and time series analysis.

Areas of focus

  • Hybrid modelling
  • Model development in Julia
  • Data Cubes
  • Handling petabyte-scale data—no memory issues!
  • Visual Analytics
  • Chaos*

Publications13

2025

  1. Downscaling soil moisture to sub-km resolutions with simple machine learning ensembles

    Jeran Poehls, Lazaro Alonso, Sujan Koirala, Markus Reichstein, Nuno Carvalhais

    Journal of Hydrology · 652, 132624

    PDF

  2. SeasFire cube - a multivariate dataset for global wildfire modeling

    Ilektra Karasante, Lazaro Alonso, Ioannis Prapas, Akanksha Ahuja, Nuno Carvalhais, Ioannis Papoutsis

    Scientific Data · 12 (1), 368

    PDF

2024

  1. SpectralIndices.jl: Streamlining spectral indices access and computation for Earth system research

    F. Martinuzzi, M. D. Mahecha, D. Montero, L. Alonso, K. Mora

    The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences · XLVIII-4/W12-2024, 89–95

    Code

  2. Multi-modal Learning for Geospatial Vegetation Forecasting

    Vitus Benson, Claire Robin, Christian Requena-Mesa, Lazaro Alonso, Nuno Carvalhais, José Cortés, Zhihan Gao,

    CVPRProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 27788-27799

    PDFCode

  3. Integration of a Deep-Learning-Based Fire Model Into a Global Land Surface Model

    Rackhun Son, Tobias Stacke, Veronika Gayler, Julia E. M. S. Nabel, Reiner Schnur, Lazaro Alonso, Christian Requena-Mesa,

    Journal of Advances in Modeling Earth Systems · 16 (1), e2023MS003710

    PDF

2023

  1. Toward Robust Parameterizations in Ecosystem-Level Photosynthesis Models

    Shanning Bao, Lazaro Alonso, Siyuan Wang, Johannes Gensheimer, Ranit De, Nuno Carvalhais

    Journal of Advances in Modeling Earth Systems · 15 (8), e2022MS003464

    PDF

2022

  1. Learning to Forecast Vegetation Greenness at Fine Resolution over Africa with ConvLSTMs

    Claire Robin, Christian Requena-Mesa, Vitus Benson, Lazaro Alonso, Jeran Poehls, Nuno Carvalhais, Markus Reichstein

    NeurIPS Workshop Tackling Climate Change with Machine Learning

  2. Seasfire cube: A global dataset for seasonal fire modeling in the earth system

    Lazaro Alonso, F Gans, I Karasante, A Ahuja, I Prapas, S Kondylatos, I Papoutsis,

    Zenodo: Geneva, Switzerland

    Code

2021

  1. Perspectives for analyzing non-linear photo-ionization spectra with deep neural networks trained with synthetic Hamilton matrices

    Sajal Kumar Giri, Lazaro Alonso, Ulf Saalmann, Jan Michael Rost

    Faraday Discuss. · Royal Society of Chemistry (RSC) · 228 (0), 502–518

    PDF

2019

  1. Geometrical and spectral study of β-skeleton graphs

    L. Alonso, J. A. Méndez-Bermúdez, Ernesto Estrada

    Phys. Rev. E · American Physical Society · 100, 062309

2018

  1. Identifying network structure similarity using spectral graph theory

    Ralucca Gera, L. Alonso, Brian Crawford, Jeffrey House, J. A. Mendez-Bermudez, Thomas Knuth, Ryan Miller

    Applied Network Science · 3 (1), 2

    PDF

2017

  1. Weighted random-geometric and random-rectangular graphs: spectral and eigenfunction properties of the adjacency matrix

    L Alonso, J A Méndez-Bermúdez, A González-Meléndrez, Yamir Moreno

    Journal of Complex Networks · 6 (5), 753-766

2016

  1. Joint probability distributions for projection probabilities of random orthonormal states

    L Alonso, T Gorin

    Journal of Physics A: Mathematical and Theoretical · IOP Publishing · 49 (14), 145004