Fredrik Lindsten

Professor In Machine Learning at WASP – Wallenberg AI, Autonomous Systems and Software Program

Linköping, Sweden
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Summary

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Fredrik Lindsten is a Professor in Machine Learning at Linköping University with a decade of research and academic leadership focused on probabilistic models, uncertainty quantification, and computational Bayesian methods. He earned an MSc in Applied Physics and Electrical Engineering and a PhD in Automatic Control from Linköping, and has held research roles at Cambridge, UC Berkeley, and Oxford, reflecting strong international collaborations. As a WASP project PI and founder of the consultancy Inferentic, he bridges foundational research with applied R&D and competence development for industry. His PhD work on particle filters and Markov chains underscores a long-standing interest in inference for dynamical systems, and he frequently combines signal processing insights with statistical machine learning techniques.
code9 years of coding experience
job8 years of employment as a software developer
bookMaster of Science Applied Physics and Electrical Engineering, Master of Science Applied Physics and Electrical Engineering at Linköping University
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Github Skills (14)

prediction9
espn8
hypothesis-testing7
python7
forecasting7
statistics7
regression-models7
statsmodels6
econometrics6
modeling6
data-analysis5
data-science5
generalized-linear-models3
java1

Programming languages (2)

HTMLPython

Github contributions (5)

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freli005/personal_webpage

Nov 2019 - Feb 2025

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Contributions:155 pushes in 5 years 3 months
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Contributions:5 commits, 4 pushes, 1 branch in 1 day
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Fredrik Lindsten - Professor In Machine Learning at WASP – Wallenberg AI, Autonomous Systems and Software Program