Thomas Nielsen
Professor at Aalborg University
North Denmark Region, Denmark
Summary
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SeniorThomas Nielsen is a Professor of probabilistic machine learning at Aalborg University with over two decades of academic experience and 11 years documented professional experience. His research focuses on Bayesian networks and deep generative models, bridging theory and practice across industrial process monitoring, bioinformatics, medical treatment planning, and environmental engineering such as water management. He develops probabilistic frameworks for representing and solving complex decision problems under uncertainty, emphasizing methods that translate into real-world monitoring and decision-support systems. Having progressed through roles from PhD student to full professor at the same institution, he brings deep institutional knowledge and a track record of sustained scholarly leadership. An understated strength is his ability to connect rigorous probabilistic modeling with domain-specific engineering problems, producing work that is both methodologically robust and practically impactful.
11 years of coding experience
18 years of employment as a software developer
Github Skills (18)
stochastic-processes10
probabilistic10
aem10
toolbox9
probabilistic-models9
probabilistic-graphical-models9
scalable8
java8
probabilistic-programming8
machine-learning7
variational-autoencoder2
gaussian-mixture-models2
density-estimation2
gaussian-processes1
variational-inference1
Programming languages (2)
Github contributions (2)
amidst/toolbox
Jul 2014 - Dec 2014
A Java Toolbox for Scalable Probabilistic Machine Learning
Contributions:76 commits in 5 months
scalabletoolboxmachine-learningprobabilistic-programmingprobabilistic-machine-learning
PGM-Lab/probai-2021-pyro
Jun 2021 - Jun 2021
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
Contributions:1 push in 1 day
deep-learningnordicgaussian-mixture-modelsbayesian-inferencemachine-learning
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