Joris Baan
PHD Candidate
Amsterdam, North Holland, Netherlands
Summary
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Senior🎓
Top SchoolJoris 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.
11 years of coding experience
3 years of employment as a software developer
MSc, Artificial Intelligence, Cum laude (with honor), MSc, Artificial Intelligence, Cum laude (with honor) at University of AmsterdamExchange programme, Computer Science, Exchange programme, Computer Science at University of Toronto
English, Dutch
Github Skills (22)
earth-movers-distance10
neural-machine-translation9
translation7
image-processing7
pytorch7
machine-translation7
mathematics7
earth7
cython6
deep-learning6
metric6
metadata6
python6
language-model4
scientific-computing4
Programming languages (2)
Github contributions (5)
AIJoris/Explainable-Summarization
Jan 2019 - Jul 2019
Contributions:91 pushes, 5 branches in 5 months
jsbaan/transformer-from-scratch
Dec 2021 - May 2022
Contributions:64 commits, 13 pushes, 1 comment in 4 months
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