Andreas Kirsch

Research Scientist at Google DeepMind

Stony Stratford, England, United Kingdom
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Summary

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Andreas 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.
code15 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Oxford
bookMSc, Computer Science, MSc, Computer Science at Technical University of Munich
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Github Skills (200)

python10
huggingface10
mnist-dataset10
deep-learning10
speech10
gpu10
mnist10
streamlit10
nbdev10
javascript10
ml10
numpy10
sdk10
ai10
neural-network10

Programming languages (13)

JavaLeanC++HTMLJupyter NotebookKotlinTypeScriptDockerfile

Github contributions (5)

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BlackHC/batchbald_redux

Apr 2020 - Aug 2022

Reusable BatchBALD implementation
Contributions:54 commits, 12 PRs, 19 pushes in 2 years 4 months
pytorchactive-learningbatchbaldmachine-learningneurips-2019
BlackHC/llm-strategy

Dec 2022 - Mar 2023

Directly Connecting Python to LLMs via Strongly-Typed Functions, Dataclasses, Interfaces & Generic Types
Contributions:5 releases, 24 commits, 1 PR in 2 months
dataclassesgeneric-typespythonstrongly-typedllm
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