Thorsten Burandt
Head Of Quantitative Analysis - Volue Data & Forecasts
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolThorsten Burandt is a Head of Quantitative Analysis and team leader with a PhD in energy economics and eight years of cross-disciplinary experience building forecasting models, optimisation tools, and data pipelines for power and fuel markets. He combines deep academic expertise in operations research and energy-system modelling (PLEXOS, GENeSYS‑MOD) with hands-on engineering leadership, having shipped in-house mid-term price models that cut licensing costs and improved accuracy. At Volue he has led cross-functional teams to productionise ML models and optimisation algorithms while embedding CI/CD, OKRs, and evidence-based decision frameworks. Thorsten also co-founded a consultancy to advise on low-emissions scenarios and has supported grid and market development projects across Europe and beyond. Based in Berlin, he pairs rigorous quantitative research with practical product delivery and a knack for translating complex model insights into operational value.
8 years of coding experience
10 years of employment as a software developer
Dr. rer. oec. (Ph.D.) Energy Economics and Operations Research, Dr. rer. oec. (Ph.D.) Energy Economics and Operations Research at Technische Universität BerlinNorwegian University of Science and Technology
German, English, Norwegian, Japanese
Github Skills (30)
glpk10
linear-optimization10
gurobi10
optimisation10
cplex10
risk-assessment10
optimization-methods9
sustainability9
power-systems9
climate-science9
energy-system9
renewable-energy9
optimization9
modeling8
python8
Programming languages (1)
Github contributions (5)
tburandt/linopy
Mar 2022 - Nov 2024
Linear optimization with N-D labeled arrays in Python
Contributions:2 pushes, 2 branches in 2 years 9 months
pythongurobioptimizationarrayslinear
tburandt/nomenclature
May 2020 - Mar 2021
Definitions of common terms (variables, regions, etc.) for the openENTRANCE project
Contributions:41 pushes, 11 branches, 1 tag in 9 months
regionsgmldefinitionstraitsvariables
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