弗莱堡大学机器学习教授；ELLIS 图宾根研究所 · Professor of Machine Learning, University of Freiburg; ELLIS Institute Tübingen
把 AutoML 做成一个独立领域的人：Auto-WEKA、Auto-sklearn、Auto-PyTorch 都出自他的实验室，第一本 AutoML 专著和 AutoML 会议也是他牵头。2016 年起任弗莱堡大学机器学习正教授，兼该校 ELLIS 分部主任、ELLIS 图宾根研究所 Hector 冠名研究员，持有三项 ERC 基金。博士与博士后均在英属哥伦比亚大学。近年他主张表格与科学建模缺的不是更多数据而是先验结构，这正是 TabPFN 背后的论点。
The researcher most responsible for making AutoML a field of its own: Auto-WEKA, Auto-sklearn and Auto-PyTorch came out of his lab, as did the first book on AutoML and the AutoML conference he founded as general chair. Full professor at Freiburg since 2016, director of the ELLIS unit there and a Hector Endowed Fellow at the ELLIS Institute Tübingen, with three ERC grants. PhD and postdoc at UBC. His recent work argues that prior structure, not more data, is what tabular and scientific models are still missing — the thesis behind TabPFN.
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