Alejandro Coca-castro
Research Fellow at The Alan Turing Institute
Stony Stratford, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolAlejandro Coca-castro is a Research Fellow at the Alan Turing Institute with a PhD in Geography and over a decade of experience applying open-source geospatial and ML tools to environmental and agricultural problems. He designs reproducible pipelines and multimodal AI systems—most recently contributing to FastNet with the Met Office and the open-source DeepSensor package for soil moisture modelling. Alejandro blends rigorous statistical and machine learning expertise with hands-on software development, community-building and leadership, having led a UKRI-funded workstream to seed open environmental data science practices. His background spans international consultancy and startup CTO roles, delivering scalable Earth-observation workflows from Google Earth Engine to Pangeo. Colleagues describe him as a pragmatic innovator who pairs deep domain knowledge of land-use and remote sensing with a passion for disruptive, socially impactful technologies.
11 years of coding experience
5 years of employment as a software developer
10, Agricultural engineering, Pass with Distinction, 10, Agricultural engineering, Pass with Distinction at Universidad Nacional de ColombiaEscola Superior de Agricultura "Luiz de Queiroz"Doctor of Philosophy - PhD, Geography, PhD in Geography with major in Remote Sensing, Doctor of Philosophy - PhD, Geography, PhD in Geography with major in Remote Sensing at King's College London
Spanish, English, Portuguese, French
Github Skills (122)
image-processing10
environmental-monitoring10
data-science10
climate-change10
image-analysis9
ocean9
computer-vision9
energy9
polar9
energy-data9
machine-learning9
markdown-it9
jupyter-book9
r-package9
modis9
Programming languages (12)
Github contributions (5)
eds-book/template_python
Jun 2022 - Jun 2025
Python Notebook Repository Template
Contributions:2 releases, 5 PRs, 45 pushes in 3 years 1 month
template
eds-book/reproducibility-challenge-2023
Apr 2023 - Feb 2024
Climate Informatics Reproducibility Challenge
Contributions:1 release, 3 reviews, 58 PRs in 10 months
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