Gabrielė
Tijūnaitytė

✦ PhD Researcher 📍 Bonn, Germany
Picture of Gabrielė.

About

I am Gabrielė Tijūnaitytė, a PhD Researcher at the MEO-Lab, University of Bonn, specializing in AI for Earth Observations.

With a strong foundation in Geo-Information Science, my work lies at the intersection of deep learning, computer vision, and geospatial analysis. My current research focuses on Implicit Neural Representations for Geospatial Data—specifically, learning better continuous neural representations of the Earth and its dynamics from Earth Observation data. I am dedicated to building impactful, data-driven solutions to environmental challenges, drawing on my broader expertise in multi-modal satellite imagery, large vision-language models, and contrastive deep learning.

Outside of research, I enjoy trying out new recipes and running.

Publications

ECCV Marine Vision Workshop · Poster · 2026

Cross-Modal Matching of Marine Debris in Multi-Spectral Satellite Imagery

Gabrielė Tijūnaitytė, Emanuele Dalsasso, Marc Rußwurm

arXiv · 2026

Better Together: Evaluating the Complementarity of Earth Embedding Models

Thijs L van der Plas, Jacob JW Bakermans, Vishal Nedungadi, Gabrielė Tijūnaitytė, Marc Rußwurm, Ioannis N Athanasiadis

Resume

Experience

Oct 2026 – Present

PhD Researcher

MEO-Lab, University of Bonn

Researching Implicit Neural Representations for Geospatial Data. Focus on learning continuous neural representations of Earth and its dynamics from Earth Observation data.

Dec 2025 – Oct 2026

AI Research Engineer

Artificial Intelligence group, Wageningen University

  • Main contributor to AETHER, an ESA-funded project on self-explainable AI for Earth Observation.
  • Aligned EO embeddings with language space for open-vocabulary interpretability.
  • Coordinated internal training labs and reading sprints.
Jun – Nov 2025

Data Science Intern

Wageningen University × Deltares

Fine-tuning Large Vision–Language Models for dam infrastructure classification and geo-reasoning.

Aug – Dec 2024

Teaching Assistant

Wageningen University

Geoscripting and Big Data courses — Python, R, and Bash for spatial analysis.

May – Jul 2024

Academic Consultancy Training

Wageningen University × Space4Good

Led team building a deep learning super-resolution pipeline for road detection in satellite imagery. Read blog post.

Apr 2021 – May 2023

Research Aide

Vilnius University

Built isotope records database; literature reviews and presentations.

Skills

AI & Machine Learning

Deep Learning Computer Vision Contrastive Learning Vision–Language Models Fine-tuning Foundation Models Explainability

Geospatial & EO

Remote Sensing Multi-modal Satellite Imagery Google Earth Engine QGIS · ArcGIS Pro · SNAP

Programming

Python · PyTorch · Lightning Scikit-learn · Rasterio GeoPandas · R · SQL Bash / Shell

Tools

Git / GitHub SLURM (HPC) GPU Programming Big Data Processing

Education

2023 – 2025

M.Sc. Geo-Information Science Cum Laude

Wageningen University

| GPA: 9.0/10.0

Machine & Deep Learning · Data Sciences.

Thesis: Contrastive deep learning for matching marine debris patches across PlanetScope and Sentinel-2 imagery.

2021 – 2022

ERASMUS Exchange

University of Porto

| GPA: 9.8/10.0

Remote Sensing & Environmental Sciences.

2019 – 2023

B.Sc. Geology Cum Laude

Vilnius University

| GPA: 9.9/10.0

Thesis: Dynamics of Pilkosios Dunes Relief 2010–2022, Digital Elevation Model Analysis.

Get in Touch

For more information about me or my work, feel free to reach out.

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