Carl Ek
Professor at University of Cambridge
Cambridge, England, United Kingdom
Summary
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SeniorCarl Ek is a Professor of Machine Learning at the University of Cambridge with 17 years of research experience focused on probabilistic modelling and efficient representation learning. He combines expertise in dimensionality reduction, graphical models, Gaussian processes and kernel methods to uncover intrinsic problem structure while reducing computational cost. Based in Cambridge and also affiliated with Pembroke College and Karolinska Institutet, he bridges foundational theory and practical probabilistic frameworks. His work is notable for pursuing both principled Bayesian approaches and applied methods that make complex models more tractable and interpretable.
17 years of coding experience
Swedish, English
Github Skills (23)
gaussian10
matlab9
gaussian-processes8
machine-learning7
kde-plasma7
python6
science5
emacs5
exporter5
matrix5
data-science5
hugo4
xcb4
jekyll4
window-manager4
Programming languages (4)
Github contributions (5)
carlhenrikek/carlhenrikek.github.io
Dec 2017 - Jan 2025
Contributions:57 pushes, 1 branch in 7 years 2 months
carlhenrikek/COMS30115
Jan 2018 - Apr 2019
Contributions:47 commits, 1 PR, 61 pushes in 1 year 2 months
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