Joris Baan

PHD Candidate

Amsterdam, North Holland, Netherlands
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Summary

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Senior
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Top School
Joris Baan is a PhD candidate in Machine Learning and Natural Language Processing at the University of Amsterdam with 11 years of industry and research experience bridging large-scale engineering and academic inquiry. He has led ML teams and productionized recommendation systems at DPG Media, while his doctoral work focuses on uncertainty in NLP under advisors Wilker Aziz, Barbara Plank and Raquel Fernández. His background includes research internships at AI2 and visits to NLP labs abroad, and his master’s thesis on transformer interpretability resulted in publications—showing a consistent thread from theory to deployed systems. Based in Amsterdam, he combines rigorous academic training (MSc cum laude) with pragmatic product-minded engineering, comfortable moving between experimental research and building reliable ML stacks.
code11 years of coding experience
job3 years of employment as a software developer
bookMSc, Artificial Intelligence, Cum laude (with honor), MSc, Artificial Intelligence, Cum laude (with honor) at University of Amsterdam
bookExchange programme, Computer Science, Exchange programme, Computer Science at University of Toronto
languagesEnglish, Dutch
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Github Skills (27)

earth-movers-distance10
neural-machine-translation9
text-analysis9
language-model9
text-processing9
metric9
mathematics8
machine-translation8
image-processing8
pytorch7
named-entity-recognition7
cython7
natural-language-processing7
deep-learning7
python7

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Well documented, unit tested, type checked and formatted implementation of a vanilla transformer - for educational purposes.
Contributions:64 commits, 13 pushes, 1 comment in 4 months
Contributions:91 pushes, 5 branches in 5 months
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