Joaquin Vanschoren
Associate Professor
Genk, Limburg, Belgium
Summary
👤
Senior🎓
Top SchoolJoaquin Vanschoren is an associate professor at TU Eindhoven and head of the Artificial Minds research group, with 13 years of experience building and studying AI systems that aim to learn more like humans. He founded OpenML, a prominent open-science platform whose Python API he actively contributes to, and has driven community standards for datasets, benchmarks and resource sharing (co-founding the Croissant standard). Joaquin blends rigorous academic work—authoring the first book on AutoML and serving as editor-in-chief of DMLR—with practical impact through roles at universities, industry collaborations, and leadership in MLCommons’ AI Risk & Reliability group. He was the inaugural chair of the NeurIPS Datasets & Benchmarks track and helped establish European AI societies such as ELLIS and CAIRNE, reflecting a rare mix of technical, organizational, and policy influence. Recognized with awards like the Dutch Data Prize and Amazon Research Award, he is equally focused on reproducibility and making AI accessible to benefit humanity. Colleagues describe him as an energetic collaborator who turns community tooling into long-lasting scientific infrastructure.
13 years of coding experience
13 years of employment as a software developer
MSc, Computer Science, Artificial Intelligence, MSc, Computer Science, Artificial Intelligence at KU LeuvenSint-Jan Berchmanscollege
English, Dutch, Spanish, French
Stackoverflow
31reputation
3kreached
3answers
0questions
Github Skills (21)
python10
data-science10
scikit10
scikit-learn10
machine-learning9
jupyter-notebook9
apidoc8
api8
user-data8
data-model8
data-set8
html6
datatables6
tabular6
datatable6
Programming languages (14)
Github contributions (5)
openml/openml-python
Dec 2015 - Oct 2020
OpenML's Python API for a World of Data and More 💫
Role in this project:
Data Scientist / ML Engineer
Data Scientist / ML EngineerContributions:6 reviews, 44 commits, 30 PRs in 4 years 11 months
Contributions summary:Joaquin's contributions primarily focused on modifying and integrating machine learning models within the OpenML Python API. Their work involved renaming and modifying functions to ensure the API's usability (e.g., renaming `get_pandas` to `get_dataset`). They were involved in merging branches with fixes and new features. They also contributed to examples in Jupyter notebooks.
pythonmeta-learningopenmldata-sciencemachine-learning
joaquinvanschoren/OpenML-AutoML-course
Jun 2018 - Nov 2018
Contributions:11 commits, 8 pushes, 1 branch in 4 months
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