Taïs Grippa
Geospatial & Remote Sensing Researcher ANAGEO Lab
Brussels Metropolitan Area Belgium
Summary
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Senior🎓
Top SchoolTaïs Grippa is a geospatial and remote sensing researcher with nine years of experience applying geomatics, GIS and machine learning to urban planning and decision support at the ANAGEO lab in Brussels. With a PhD and a track record at Université libre de Bruxelles and F.R.S.‑FNRS, she blends deep academic rigour with practical skills in Python, PostGIS, QGIS/GRASS and Docker to automate spatial analyses and deploy reproducible workflows. Her expertise spans optical remote sensing, spatial SQL, and deep learning (TensorFlow/Keras), enabling scalable mapping and data-driven urban insights. Comfortable both leading research projects and hands‑on engineering, she often bridges domain knowledge and software automation to turn complex geodata into actionable tools for planners and policymakers.
9 years of coding experience
Certificat universitaire, Certificat universitaire at Université catholique de LouvainMaster's degree, Master's degree at Université libre de Bruxelles
Github Skills (51)
osgeo10
raster10
grass10
geographic10
vector10
gis10
geospatial-analysis10
jupyter9
image-processing9
wps9
open-science9
earth-observation9
geospatial9
chain9
classification9
Programming languages (6)
Github contributions (5)
tgrippa/Partimap
Jan 2022 - Jun 2022
Repository with experimentations for Partimap project
Contributions:1 release, 61 commits, 2 PRs in 4 months
tgrippa/Street_blocks_features_computation
Jan 2018 - Apr 2019
Contributions:1 release, 24 commits, 7 pushes in 1 year 2 months
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