Jonas Adler
Principal Research Scientist at Google DeepMind
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolJonas Adler is a Principal Research Scientist at Google DeepMind with 11 years of experience applying advanced machine learning to scientific problems, including core contributions to AlphaFold and large-scale pretraining like Gemini. Trained as a PhD in Computational and Applied Mathematics from KTH, he has progressed through research and engineering roles at DeepMind since 2019, blending theoretical depth with product-facing GenAI work. His background spans medical and life-science R&D at Elekta and internships across industry, giving him uncommon domain fluency in applied science and software. Colleagues know him for turning foundational research into deployable systems that accelerate discovery, and for a habit of shifting between microscope-level model details and system-level engineering.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Computational and Applied Mathematics, Doctor of Philosophy (PhD) Computational and Applied Mathematics at KTH Royal Institute of Technology
Swedish, English, Chinese
Stackoverflow
10,593reputation
1.1mreached
170answers
18questions
jupyter-notebook
top-5%
tensorflow
top-5%
neural-network
top-5%
jupyter
top-5%
machine-learning
top-5%
python
top-1%
Github Skills (189)
inverse10
gradient-descent10
python10
testing10
language-server-protocol10
numerics10
deep-learning10
gpu10
scientific-computing10
optimization10
operator10
image-reconstruction10
python-development10
qt10
ml10
Programming languages (10)
Github contributions (5)
adler-j/academic_website
Aug 2018 - May 2023
Source code for my personal webpage
Contributions:4 PRs, 33 pushes, 5 branches in 4 years 8 months
adler-j/spectral_ct_examples
Nov 2016 - Sep 2017
Contributions:22 commits, 21 pushes, 1 branch in 9 months
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