Maximilian Hesselbarth
Analyst Energy And Environment at STATISTICS AUSTRIA
Vienna, Austria
Summary
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Senior🎓
Top SchoolMaximilian Hesselbarth is a computational ecologist turned data scientist with eight years of experience applying quantitative methods to energy and environmental challenges. Currently an Analyst in the Energy and Environment section at Statistics Austria, he blends academic rigor from a Doctor of Science (University of Göttingen) with applied research stints at IIASA and the University of Michigan. Proficient in R and statistical modeling, Max translates complex ecological and systems data into actionable insights for policy and planning. He brings a track record of interdisciplinary collaboration across academia and international research institutes, often bridging theory and operational data workflows. Based in Vienna, he’s known for pragmatic, reproducible analyses—an approach shaped by his background in computational ecology that favors transparent, reproducible code and careful uncertainty quantification.
8 years of coding experience
Bachelor of Science - BS, Bachelor of Science - BS at HAWK - University of Applied Science and ArtsDoctor of Science, Doctor of Science at The University of Göttingen
Stackoverflow
76reputation
3kreached
9answers
0questions
Github Skills (98)
ecology10
taxonomy10
knitr10
categorical10
spatial10
data-handling10
government-data10
reproducible-science10
r10
ckan10
phylogeny10
unconf10
r-package10
raster10
biodiversity10
Programming languages (8)
Github contributions (5)
r-spatialecology/onpoint
Mar 2019 - Feb 2025
:package: Helper functions related to point pattern analysis mainly based on spatstats
Contributions:6 releases, 25 PRs, 122 pushes in 6 years
point-pattern-analysisspatialpattern-analysispointpattern
r-spatialecology/landscapemetrics
May 2018 - Jan 2023
Landscape Metrics for Categorical Map Patterns 🗺️ in R
Contributions:27 releases, 2 reviews, 976 commits in 4 years 9 months
r-packagelandscape-metricsrasterspatiallandscape-ecology
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