Pascal Weigmann

Research Scientist at PIK - Potsdam Institute for Climate Impact Research

Berlin, Germany
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Summary

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Senior
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Top School
Pascal Weigmann is a research scientist based in Berlin with nine years’ experience modeling energy and climate transformation pathways using integrated assessment models, notably REMIND. He combines domain expertise in GHG emissions and power-sector datasets with hands-on research software engineering to improve model reliability, usability, and validation workflows. Pascal has led modeling work for finance-sector climate initiatives (NGFS) and national transition studies (ARIADNE), and published an R package for validating IAM scenarios against reference and near-term data. His background in physics and life-cycle assessment gives him a strong quantitative foundation and an eye for data curation across sources like EDGAR, CEDS, EMBER and IRENA. Outside core modeling he has built simulation tools for transport electrification and has a track record of translating complex research into practical tools and visualizations.
code9 years of coding experience
bookMaster of Science - MS, Physikalische Ingenieurswissenschaften, Master of Science - MS, Physikalische Ingenieurswissenschaften at Technische Universität Berlin
bookBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Georg-August-Universität Göttingen
languagesGerman, English, French, Swahili, Russian, Portuguese
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Github Skills (21)

preprocessing10
python10
routines10
plotter9
manipulation9
data-preprocessing9
sector9
harmonic8
transport8
wolfram-language7
android-app6
pascal6
julia5
android5
visualization5

Programming languages (8)

JuliaGAMSJavaRJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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pweigmann/remind

Oct 2021 - Aug 2024

REMIND - REgional Model of INvestments and Development
Contributions:1 review, 6 PRs, 148 pushes in 2 years 10 months
pythoninvestmentsregionalremindregional-model
pweigmann/mrremind

Sep 2021 - Mar 2025

The mrremind packages contains data preprocessing for the REMIND model.
Contributions:52 pushes, 28 branches in 3 years 6 months
reminddata-preprocessingpreprocessing
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