“To democratize AI and help humanity, we need a more principled approach to AI training and evaluation, understand how to build machine learning systems robustly and safely, and progressively automate this process as much as possible."

dr. ir. Joaquin Vanschoren is an Associate Professor of Machine Learning at the Eindhoven University of Technology (TU/e). He aims to deeply understand, explain, and democratize AI to build learning systems that help humanity. He and his team build AI systems that learn continually and assemble themselves to learn faster and better, much like the human brain. He founded OpenML, an open science platform for machine learning, started the NeurIPS Datasets and Benchmarks track to incentivize better training data and evaluations, and works with MLCommons on AI Safety, ML standards, and data-centric AI. He is always eager to collaborate with new people. Do reach out!

dr. Vanschoren leads the Automated Machine Learning group at TU Eindhoven and is an Education Director for the Data Science program. He received a Best Teacher award for his master course on Machine Learning Engineering. Next to leading the OpenML open source team, he's also co-chair of the MLCommons AI Safety working group, editor-in-chief of the Journal for Data-Centric Machine Learning (DMLR), and action editor of JMLR. He won the Dutch Data Prize, an Amazon Research Award, and an ECMLPKDD Best Demo award. He gave over 30 invited talks, was a tutorial speaker at NeurIPS 2018 and AAAI 2021, and authored over 200 scientific papers, as well as reference books on Automated Machine Learning and Meta-learning. He is a founding member of the European AI networks ELLIS and CLAIRE.

Joaquin Vanschoren received his PhD in Engineering from the University of Leuven, Belgium, where he also obtained an MSc in Engineering Computer Science (with honors). Research visits have taken Joaquin to IBM and Amazon Research, the Jozef Stefan Institute and the Universities of Waikato, Aberystwyth, Paris-Sud, Dortmund, Geneva, Zurich, Porto, Bournemouth, Aberdeen, and Indiana. Before joining TU/e, Joaquin was a Data Scientist at CityLife (now Joyn).

He has been keynote speaker at the European Conference on Data Analysis, Statistical Computing, and workshops at Neural Information Processing Systems (NeurIPS) and the International Conference on Machine Learning (ICML). He also co-organized machine learning conferences (e.g. ECMLPKDD 2013, LION 2016) and many workshops, including the AutoML Workshop series at ICML and the Meta-Learning Workshop series at NeurIPS. He is a senior member of the Dutch School for Information and Knowledge Systems. Joaquin is a member of wide range of committees, including Neural Information Processing Systems, ACM SIGKDD Conference on Knowledge Discovery and Data Mining and International Joint Conferences on Neural Networks and Artificial Intelligence. He also acts as a referee for various journals, such as Machine Learning Journal, Journal of Machine Learning Research and Data Mining and Knowledge Discovery.

* Open Machine Learning Foundation

* ML Commons