madelonhulsebos.github.io - Madelon Hulsebos

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Hi! I'm a PhD candidate with the INDE Lab at the University of Amsterdam . So far, my research has been on learned table representations and their applications like data preparation, exploration, and analysis . My broader interest is in Intelligent Data Systems with a particular focus on systems for relational tables.

My interest in 'learning from tables' started at the MIT Media Lab, where I developed Sherlock , a deep learning method for detecting table semantics at scale, enabling applications like data validation. The huge interest from industry in Sherlock and the dominant presence of tables across data systems, inspired me to start a PhD in 2020 to focus on learned table models and their effectiveness in practice. A piece of this puzzle is GitTables : a dataset of 1.7M tables (but continuously growing) extracted fr

In my opinion, tables have been a too long ignored modality for representation learning with too much application potential to ignore. Therefore, I founded the Table Representation Learning workshop (hosted at NeurIPS 2022). As part of the wider research community, I support JSys as Assistant Editor, co-organize DEEM (SIGMOD 2023) and the SemTab challenge (2021/2022), and review for various workshops/tracks at e.g. VLDB, EDBT, NeurIPS, WWW. Besides academia, I am member of the supervisory board of a student

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