Skip to content
View PondiB's full-sized avatar
🌍
🌍

Highlights

  • Pro

Organizations

@Open-EO

Block or report PondiB

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
PondiB/README.md

Hi there, I'm Brian Pondi — Geospatial Researcher & Software Engineer

I'm a Computational Geographer designing and building geospatial machine-learning (ML) systems for real-world Earth Observation applications. My work sits at the intersection of Earth Observation, reproducible ML workflows, and interoperable data infrastructures.

I've recently submitted my PhD in Geoinformatics at the Institute for Geoinformatics (IFGI), University of Münster, and am now awaiting my viva. My cumulative dissertation, supervised by Prof. Edzer Pebesma in the Spatio-Temporal Modelling Lab, titled reproducible and interoperable Machine Learning for Earth Observation data cubes.

I'm also a partner researcher on GeoAI4EI, an EU Horizon Europe project, where I work on integrating geospatial foundation model embeddings into disease surveillance and epidemiological risk-modeling pipelines.

Research interests & skills:

  • 🌍 Earth Observation & Data Cubes
  • 🤖 Geospatial Machine Learning & AI
  • 🧩 Reproducible & Interoperable ML workflows
  • 🗺️ Spatial data infrastructures & cloud-native geospatial systems
  • ⚙️ Backend engineering for geospatial applications
  • 🐍 Python & R

I'm always open to collaborations, research discussions, and new challenges — feel free to reach out! 😊

Pinned Loading

  1. health health Public

    STAC Health Extension — metadata for geospatial public-health and epidemic-intelligence datasets (surveillance, covariates, model outputs), with privacy and vintage fields. Proposal.

  2. openeo-processes openeo-processes Public

    Forked from Open-EO/openeo-processes

    Interoperable processes for openEO's big Earth observation cloud processing.

    HTML 1

  3. openeocubes openeocubes Public

    A lightweight R-based RESTful service to analyze Earth Observation data cubes in the cloud.

    R 35 11

  4. Open-Earth-Monitor/openeocraft Open-Earth-Monitor/openeocraft Public

    OpenEO generic R backend that can use stars, terra, sits, gdalcubes, etc

    Jupyter Notebook 11 2

  5. openeo-core openeo-core Public

    Standalone Python core for defining and executing openEO processes

    Python

  6. MatMatt/EarthGrid MatMatt/EarthGrid Public

    Distributed storage, processing and access for satellite imagery and Earth observation products

    Rust 1 1