Mikkel Lykkegaard
Consultant, Lead Data Scientist
Denmark
Summary
👤
Senior🎓
Top SchoolMikkel Lykkegaard is a Lead Data Scientist and consultant with a decade of experience applying data science to environmental and industrial challenges, currently driving projects at the Danish Technological Institute. He holds a PhD in Water Informatics Engineering from the University of Exeter and has combined academic rigor with industry impact through roles from postdoctoral research to principal scientist at digiLab. Mikkel excels at turning complex hydrological and environmental data into actionable insights and products, bridging research, teaching, and commercial delivery. Based in Denmark with a background in Arctic technology, he brings a practical, systems-oriented mindset shaped by fieldwork and construction-industry experience. His GitHub bio hints at a sceptical, evidence-first approach to modeling—favoring suspicions tested by data over assumptions.
10 years of coding experience
5 years of employment as a software developer
MSc Environmental Science, MSc Environmental Science at University of AberdeenPhD Water Informatics Engineering, PhD Water Informatics Engineering at University of ExeterTechnical University of Denmark
English, Danish, greenlandic, Norwegian, Spanish
Github Skills (57)
bayesian-statistics10
nonlinear10
sparse10
variational-inference10
probabilistic-programming10
python10
machine-learning10
dynamical-systems10
statistical-inference10
mcmc10
multilevel10
bayesian10
sampler10
nonlinear-dynamics10
transition10
Programming languages (4)
Github contributions (5)
mikkelbue/tinyDA
Dec 2020 - Nov 2022
Multilevel Delayed Acceptance MCMC sampler with finite-length subchains, modern transition kernels and adaptive error modelling.
Contributions:22 reviews, 213 commits, 63 PRs in 2 years
mcmc-sampleradaptivetransitionsimulationlength
mikkelbue/pysindy
Dec 2023 - Feb 2024
A package for the sparse identification of nonlinear dynamical systems from data
Contributions:5 PRs, 55 pushes, 2 branches in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.