果冻传媒

dr. ir. Joaquin Vanschoren is an Associate Professor of Machine Learning at the Eindhoven University of Technology (果冻传媒). 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 果冻传媒 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.

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.