Jasmijn Bastings
Senior Research Scientist at Google DeepMind
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolJasmijn Bastings is a Senior Research Scientist at Google DeepMind with 11 years of experience building and optimizing neural models and ML systems. With a PhD in Artificial Intelligence and cum laude degrees from Utrecht and the University of Amsterdam, she has progressed from research engineer roles to senior scientist positions within Google, contributing to both foundational research and production-quality code. Her open-source work includes performance-focused contributions to Google's Flax library—adding an SST-2 text classification example and LSTM optimizations—and documentation and packaging improvements for joeynmt, reflecting both model expertise and engineering craftsmanship. Based in Amsterdam, she blends rigorous academic grounding with hands-on ML engineering, often focusing on making research reproducible and efficient in real-world frameworks.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Artificial Intelligence, Cum Laude, Bachelor of Science - BS, Artificial Intelligence, Cum Laude at Utrecht UniversityMaster of Science - MS, Artificial Intelligence, Cum Laude, Master of Science - MS, Artificial Intelligence, Cum Laude at University of Amsterdam
Github Skills (13)
machine-learning10
lstm10
nlp10
jax10
python10
documentation10
flax10
setuptools9
py9
neural-machine-translation7
nmt7
machine-translation7
tensorflow4
Programming languages (8)
Github contributions (5)
joeynmt/joeynmt
Oct 2018 - Nov 2020
Minimalist NMT for educational purposes
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:5 reviews, 161 commits, 33 PRs in 2 years 1 month
Contributions summary:Jasmijn's contributions primarily involve adding documentation, docstrings, and updating the project setup files. These changes focused on improving the project's documentation, which suggests a technical writing or documentation specialist role. Additionally, the user modified the setup.py file, which suggests some responsibility for packaging and deployment.
transformer-architecturenmt-tutorialnmt-frameworksseq2seqmachine-translation
google/flax
Mar 2020 - May 2021
Flax is a neural network library for JAX that is designed for flexibility.
Role in this project:ML Engineer
ML EngineerContributions:39 reviews, 27 commits, 11 PRs in 1 year 1 month
Contributions summary:Jasmijn's commits primarily focus on modifications within the `examples/sst2` directory of the `google/flax` repository, indicating work on a text classification model. These commits introduce an SST-2 example, including model definition, training loops, and evaluation metrics, signifying efforts in developing and refining a model for sentiment analysis. The user also optimizes the LSTM cell and implements various enhancements, suggesting an emphasis on model performance and efficiency within the context of the Flax framework.
deep-learningneural-networksneural-networkflaxjax
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