Andreas Munk
Founder & CEO at Evara
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolAndreas Munk is a founder and CEO with nine years of experience at the intersection of probabilistic programming, Bayesian methods, and applied ML, currently leading Evara from Vancouver. He holds a PhD in Computer Science from UBC and previously participated in the CDL-Vancouver Compute cohort, translating deep research into startup-ready products. His background spans rigorous academic teaching and research roles in Denmark and Canada, giving him a strong foundation in mathematical modelling, signal processing, and machine learning education. Andreas is focused on democratizing probabilistic programming—bringing Bayesian thinking into practical tools—and his trajectory suggests a blend of technical depth and operator-first entrepreneurship. An often-overlooked strength is his sustained experience in teaching complex quantitative subjects, which informs his ability to communicate and productize advanced statistical concepts.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of British ColumbiaBachelor of Science (BSc), Earth and Space Physics and Engineering, Bachelor of Science (BSc), Earth and Space Physics and Engineering at Danmarks Tekniske UniversitetCalifornia Institute of TechnologyTechnical University of Denmark
English, Danish, German
Github Skills (55)
emacs-lisp10
emacs10
testing9
compilation9
emacs-lsp9
melpa9
probabilistic9
vim9
distro8
angular8
react8
probabilistic-models8
vue8
webpack8
javascript8
Programming languages (4)
Github contributions (5)
ammunk/Bayesian-Non-Parametric-NMF
Feb 2018 - Mar 2023
Contributions:10 pushes, 1 branch in 5 years 1 month
ammunk/pyprob
Mar 2019 - Feb 2023
A PyTorch-based library for probabilistic programming and inference compilation
Contributions:295 commits, 1 PR, 298 pushes in 3 years 11 months
pytorchcompilationdeep-learninginferencemachine-learning
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