Andreas Søgaard
Team Leader, Data
Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolAndreas Søgaard is a data and AI leader with a decade of experience turning scientific rigor into operational impact, from developing graph neural networks for neutrino detection to delivering production ML for energy forecasting. Based in Denmark, he now leads the data team at Bornholms Energi & Forsyning, architecting a common data & AI platform and shipping products that cut wind forecast error by 40% and halved daily planning time. He blends academic depth (PhD work and Marie Curie-funded research) with hands-on product delivery and MLOps practice, having also built data capabilities as Chief AI Officer and partner in a growing consultancy. Andreas has a track record of scaling teams, playbooks and platforms while winning recognition for user-centered design—boosting user eNPS from -71 to +80 for a single product. He’s comfortable spanning research, engineering and strategic roadmaps, and often applies physics-style modelling and open-source tooling to messy, real-world operational problems.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at The University of EdinburghMaster of Science (MSc), Master of Science (MSc) at University of Copenhagen
English, Danish
Github Skills (23)
pytorch10
python10
particle-physics10
machine-learning10
high-energy-physics10
astrophysics10
deep-learning10
gpu10
neural-network10
graph-neural-network10
open-access8
telescope8
journal8
creative-commons7
neutrino6
Programming languages (3)
Github contributions (5)
asogaard/transferfactor
May 2017 - Dec 2018
Contributions:1 release, 62 pushes, 2 branches in 1 year 7 months
graphnet-team/graphnet
Sep 2021 - Jan 2023
A Deep learning library for neutrino telescopes
Contributions:6 releases, 224 reviews, 1605 commits in 1 year 4 months
deep-learningastrophysicsgpuhigh-energy-physicsmachine-learning
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