Volodymyr Trotsiuk
Data Scientist Software Engineer
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolVolodymyr Trotsiuk is a data scientist and software engineer with 10 years of experience applying advanced statistical and computational methods to environmental science and ecological research. Based in Zurich, he builds user-friendly data access and assimilation systems at WSL, supporting long-term ecological monitoring, forest growth forecasting, and carbon sequestration analyses. His background spans academia and industry—from a PhD in Environmental Systems Science and postdoctoral work on Bayesian data assimilation at ETH Zurich to business analytics projects that delivered measurable commercial impact. Volodymyr combines geospatial statistics, time-series and Bayesian modelling with production-grade data engineering, and has a track record of standardizing complex ecological datasets across Europe. Less obvious: he has translated niche research workflows into practical tools for both scientists and decision-makers, bridging the gap between academic insight and operational data products.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Environmental Systems Science, Doctor of Philosophy (PhD), Environmental Systems Science at Czech University of Life Sciences PragueMaster's degree, Forest Management/Forest Resources Management, Master's degree, Forest Management/Forest Resources Management at Swedish University of Agricultural Sciences
English, Ukrainian, Czech, Russian, German
Stackoverflow
898reputation
21kreached
17answers
3questions
Github Skills (47)
r-package10
simulation9
meta-analysis8
ecology8
r7
proj7
tibble7
hydrology7
tsne7
tidymodels7
bayesian7
calculation7
spatial6
hydrodynamics6
modeling6
Programming languages (4)
Github contributions (5)
trotsiuk/r3PG
Oct 2019 - May 2022
An R package for forest growth simulation using the 3-PG process-based model
Contributions:10 releases, 162 commits, 30 PRs in 2 years 7 months
model-basedr-packagesimulationforest
pschmidtwalter/LWFBrook90R
Mar 2019 - Feb 2021
Run the LWF-Brook90 hydrological model within R.
Contributions:25 commits, 1 PR, 13 pushes in 1 year 11 months
r-packagehydrologyhydrologicalrstatsmodeling
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