Jaap Jumelet
Postdoctoral Research Scientist at Rijksuniversiteit Groningen
Utrecht, Utrecht, Netherlands
Summary
👤
Senior🎓
Top SchoolJaap Jumelet is a postdoctoral research scientist at the University of Groningen with nine years of experience at the nexus of language acquisition, computational linguistics, and NLP. He completed a PhD at the University of Amsterdam studying syntactic behavior in language models and brings hands-on expertise in interpretability, typology, and syntax. Jaap pairs rigorous academic training—including a cum laude MSc in AI—with practical software experience from front-end development and data-visualization projects. He has taught core NLP and linguistics courses, designed Haskell assignments, and led student organizations, reflecting strong communication and mentorship skills. His work uniquely blends empirical analysis of language models with insights from human language acquisition to probe what models learn about structure.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science, Artificial Intelligence, 8.0, Bachelor of Science, Artificial Intelligence, 8.0 at Universiteit UtrechtVWO, N&T, VWO, N&T at Stedelijk Gymnasium BredaMaster of Science, Artificial Intelligence, 8.7 (Cum Laude), Master of Science, Artificial Intelligence, 8.7 (Cum Laude) at Universiteit van Amsterdam
Dutch, English
Github Skills (49)
transformers10
hidden10
pytorch10
language-model10
python10
machine-learning10
seq2seq10
flax10
deep-learning10
tensorflow10
bert10
natural-language-processing10
transformer10
speech-recognition10
nlp10
Programming languages (7)
Github contributions (5)
i-machine-think/diagNNose
Dec 2018 - Oct 2022
diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.
Contributions:3 releases, 728 commits, 18 PRs in 3 years 10 months
python-librarypythondeep-learningactivationsmachine-learning
dmg-illc/prime-lm
Jun 2022 - Nov 2022
Contributions:7 commits, 5 pushes in 5 months
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