Adrian Meyer
Data Scientist And Lecturer
Basel, Basel-City, Switzerland
Summary
👤
Senior🎓
Top SchoolAdrian Meyer is a geoinformation data scientist and PhD candidate based in Basel with nine years of experience applying machine learning and remote sensing to ecological and infrastructure problems. He currently leads a research mandate with SNCF Réseau to develop data-driven hotspot models that reduce wildlife-train collisions by combining camera-trap occupancy data, species distribution models, and multimodal remote sensing. As a lecturer and project lead at FHNW he translates cutting-edge image analysis and deep learning into operational tools for public agencies, from solar-panel detection to agricultural object recognition. His background in zoology and molecular biology gives him a rare cross-disciplinary edge for ecological modelling and field-informed algorithm design. He routinely bridges academia, industry and government partners across Switzerland and France, and volunteers his expertise in applied AI for conservation (see wilddrone collaborations). Colleagues describe him as an entrepreneurial researcher who moves fluid academic insights into practical, safety-critical applications.
9 years of coding experience
2 years of employment as a software developer
Master of Science in Engineering (MSE), Geomatik, Master of Science in Engineering (MSE), Geomatik at University of Applied Sciences and Arts Northwestern Switzerland FHNWExternal PhD Candidate, Remote Sensing Laboratories, External PhD Candidate, Remote Sensing Laboratories at University of ZurichLandesgymnasium für Hochbegabte Schwäbisch GmündMaster of Science (BSc + MSc), Zoologie/Tierbiologie, Master of Science (BSc + MSc), Zoologie/Tierbiologie at University of Basel
German, English, French, Spanish, Latin, Afrikaans
Github Skills (12)
ressources6
python-scripts6
raster6
imagery5
deep-learning5
airborne5
object-detection5
machine-learning4
computer-vision4
python4
deep-neural-networks3
geopython1
Programming languages (2)
Github contributions (5)
waldstrom/hello-world
Mar 2017 - Nov 2020
Contributions:4 PRs, 7 pushes, 6 branches in 3 years 8 months
phpngt
FHNW-IVGI/workshop_geopython2019
Jun 2019 - Jul 2020
Ressources for Workshop "Deep Learning using Airborne Imagery" at GeoPython Conference 2019
Contributions:9 commits, 9 pushes in 1 year 1 month
pythonairborneworkshopdeep-learningimagery
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