Niels Førby
Senior Process Engineer at Ørsted Bio-thermal Energy
Copenhagen Metropolitan Area Denmark
Summary
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Senior🎓
Top SchoolNiels Førby is a Senior Process Engineer with nine years of experience focused on sustainable energy systems, combining a civil engineering background in thermodynamics, CFD and combustion with strong Python and MATLAB skills. He recently completed a PhD at DTU and now applies research-grade process modelling at Ørsted Bio-thermal Energy to advance low-carbon heat and fuel solutions. His work spans energy storage, heat pumps, sustainable fuels and power generation pathways—areas he sees as central to decarbonising electricity and heat. Beyond technical depth he brings hands-on leadership from coaching youth hockey, demonstrating practical team building and project planning under pressure. Based in Copenhagen, he blends academic rigor from DTU and RPI with industry impact and a clear long-term vision for a fully sustainable energy supply.
9 years of coding experience
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Rensselaer Polytechnic InstituteTechnical University of Denmark
Github Skills (8)
weighted9
stochastic8
autoencoder8
missing-data6
machine-learning4
tensorflow4
deep-learning3
pytorch2
Programming languages (1)
Github contributions (5)
nbip/supMIWAE
Mar 2022 - Jul 2022
Code accompanying the paper "How to deal with missing data in supervised deep learning?"
Contributions:16 commits, 2 PRs, 7 pushes in 4 months
pytorchdealsuperviseddeep-learningmachine-learning
nbip/IWAE
Dec 2020 - Feb 2021
Importance Weighted Autoencoders in TensorFlow 2, reproducing results from the IWAE paper with 1 or 2 stochastic layers
Contributions:89 commits, 15 PRs, 25 pushes in 2 months
autoencoderimportanceautoencodersmachine-learningstochastic
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