Andreas Kirsch
Research Scientist at Google DeepMind
Oxford, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAndreas Kirsch is a research scientist at Google DeepMind with 15 years of experience at the intersection of machine learning research and production software engineering. He holds a DPhil in Computer Science from Oxford and a dual foundation in computer science and mathematics from TUM, and has moved between roles at Google, DeepMind, Midjourney and Newspeak, blending deep research with hands-on system building. His background spans research engineering, product-facing ML work, and academic fellowships, giving him fluency in both experimental methods and scalable implementation. Notably, he transitioned from software engineering at Google into research roles at leading AI labs, reflecting a habit of shifting between rigor and impact to push forward novel ML capabilities.
15 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of OxfordMSc, Computer Science, MSc, Computer Science at Technical University of Munich
Github Skills (200)
cml10
datasets10
mdp10
neural-network10
data-science10
nodejs10
data-models10
deep-neural-networks10
python10
builder-pattern10
huggingface10
collaboration10
pandas10
ml10
tensorflow10
Programming languages (10)
Github contributions (5)
BlackHC/BatchBALD
Jun 2019 - Aug 2021
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
Contributions:42 commits, 1 PR, 26 pushes in 2 years 2 months
pytorchdiverseactive-learningbayesian-active-learningbatch
BlackHC/dart_repl
Dec 2016 - Sep 2017
Contributions:34 commits, 3 PRs, 18 pushes in 8 months
replproof-of-conceptdartshell
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