Egor Kotov
Editor (Computation & Reproducibility)
Klein Schwaß, Mecklenburg-Vorpommern, Germany
Summary
👤
Senior🎓
Top SchoolEgor Kotov is a spatial data scientist and doctoral researcher with over a decade of experience working with larger-than-memory datasets, graph representations, and urban mobility research. He combines academic rigor from roles at MPIDR and Universitat Pompeu Fabra with practical teaching and consultancy experience across universities and international organisations. Currently he studies how human mobility patterns drive the spread of tiger mosquitoes in Spain using mobile phone data, blending computational reproducibility with applied epidemiology and urban planning. His background spans lecturing, research fellowships, and editorial work in computational reproducibility, reflecting a rare mix of methodological depth and operational focus. Based in northern Germany, he brings an interdisciplinary perspective informed by economics, planning, and advanced spatial computation.
11 years of coding experience
MSc, Planning, Environmental Management, Surveying, MSc, Planning, Environmental Management, Surveying at University of AberdeenDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Universitat Pompeu FabraEquivalent of MA, Economics, Energy Markets, Equivalent of MA, Economics, Energy Markets at Gosudarstvennyj Universitet - Vysšaja Škola EkonomikiEquivalent of MA, Economics, Energy Markets, Equivalent of MA, Economics, Energy Markets at National Research University - Higher School of Economics
English, Russian, French
Stackoverflow
79reputation
10kreached
4answers
0questions
Github Skills (200)
wps10
gdal10
data-management10
render10
alternate10
geography10
command-line-tool10
mobility10
spatial10
openstreetmap10
overpass-api10
javascript10
cdr10
ogc10
qgis10
Programming languages (20)
Github contributions (5)
e-kotov/e-kotov.r-universe.dev
Mar 2023 - Mar 2025
Contributions:8 PRs, 18 pushes, 9 branches in 2 years
e-kotov/rJavaEnv
May 2024 - Apr 2025
Java Environments for R Projects
Contributions:3 releases, 8 reviews, 74 PRs in 10 months
environmentsjavarreproducibilityreproducible-research
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