Marc Deisenroth
Research Director at Google DeepMind
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolMarc Deisenroth is a research director and academic leader with nine years of industry experience and a long-standing academic career focused on data-efficient machine learning and autonomous systems. He holds a PhD in Machine Learning from KIT and currently leads research at Google DeepMind while holding the Google DeepMind Chair of Machine Learning and AI at UCL and visiting positions at Imperial College and the University of Johannesburg. His work spans theory and application—from statistical learning and control to scalable AI for real-world autonomy—and he has steered science and innovation efforts at The Alan Turing Institute on environment and sustainability challenges. Beyond research leadership, he contributes to open educational resources, for example maintaining the companion website for the widely used "Mathematics for Machine Learning" book, reflecting a commitment to clear technical communication. Colleagues know him for blending rigorous probabilistic methods with practical robotics and control insights to make learning systems more data-efficient.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Machine Learning, Doctor of Philosophy (PhD) Machine Learning at Karlsruhe Institute of Technology (KIT)
English, German
Github Skills (12)
html10
self-organization9
content-management9
markdown-it9
web-development9
markdown9
content-management-system9
shell8
script8
sh8
scripting8
pandoc8
Programming languages (4)
Github contributions (5)
mml-book/mml-book.github.io
Dec 2017 - Feb 2022
Companion webpage to the book "Mathematics For Machine Learning"
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:218 commits, 5 PRs, 253 pushes in 4 years 2 months
Contributions summary:Marc contributed extensively to the companion webpage for the "Mathematics For Machine Learning" book. Their work primarily involved updating the `index.html` file, adding links to draft chapters and tutorials. They also added a shell script to generate the index file, demonstrating proficiency in web development and content organization.
companionmathematicsmachine-learningwebpage
mpd37/epekf
Sep 2021 - Jan 2022
Contributions:8 commits, 7 pushes, 1 branch in 4 months
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