Jan Freyberg

Research Engineer at Google

London, England, United Kingdom
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Summary

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Senior
🎓
Top School
Jan Freyberg is a research engineer and ML practitioner with 11 years’ experience bridging neuroscience and production machine learning, currently working at Google DeepMind after roles at Google and Element AI. He holds a PhD in cognitive neuroscience from Cambridge and has translated academic rigor into applied work on interactive computing, active learning, domain adaptation and transfer learning. Skilled in Python and R, Jan has shipped backend improvements to well-known open-source tooling like papermill, enhancing engine management and extensibility. He combines hands-on engineering with management experience and a knack for data communication—an award-winning data storyteller who makes complex models accessible to stakeholders. Based in London, he brings a rare mix of brain science insight and production-grade ML systems thinking to research-to-product problems.
code11 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Cognitive Neuroscience, Doctor of Philosophy (Ph.D.) Cognitive Neuroscience at University of Cambridge
bookEuropean Baccalaureate, European Baccalaureate at European School Frankfurt
languagesGerman, Spanish, Italian, English
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Stackoverflow

Stats
368reputation
10kreached
4answers
3questions
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Github Skills (16)

unit-testing10
notebook10
python10
unit-test10
jupyter10
testing10
documentation9
pipeline7
pip6
statistics6
kombu6
celery6
shiny6
dataframe6
r6

Programming languages (14)

JavaCSSTeXHTMLJupyter NotebookMATLABTypeScriptShell

Github contributions (5)

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nteract/papermill

Nov 2018 - Mar 2019

📚 Parameterize, execute, and analyze notebooks
Role in this project:
userBackend Developer
Contributions:13 commits, 2 PRs, 10 comments in 3 months
Contributions summary:Jan primarily focused on enhancing the project's internal functionalities and documentation, specifically related to entry point handling and engine management. They implemented entry point loading mechanisms within I/O and engine management, enabling the integration of external handlers and engines. Additionally, the user created tests for the new entry point loading and made adjustments to documentation to reflect these changes. The contributions also include improving test coverage and adding documentation to support the project's architecture.
nteractpublishingpythonpipelinedata-science
Contributions:10 commits, 2 PRs, 8 pushes in 1 year 8 months
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Jan Freyberg - Research Engineer at Google