Madelon Hulsebos

I’m a faculty at CWI where I lead the Table Representation Learning (TRL) Lab and am member of the Database Architectures group. I’m also faculty at ELLIS Amsterdam.

My research is focused on Table Representation Learning (TRL) and generative models for tabular data. Tables are prevalent in the data landscape, contain valuable data, and power important decisions in organizations such as governments, enterprises, and hospitals. The objective, therefore, is to democratize insights from structured data ✨. My research has been supported by an NWO AiNed grant, BIDS-Accenture Fellowship, and industry sponsors. You can find an overview of my research here.

To establish tabular data as a key modality for AI, akin to images and text, I’ve been driving TRL initatives since 2020. In particular, I founded the Table Representation Learning workshop series at NeurIPS and ACL, established the TRL research theme at ELLIS Amsterdam, and organize related efforts. I’m reviewing for various tracks/workshops at e.g. VLDB, SIGMOD, NeurIPS, ICLR, and others.

Previously, I did a postdoc at UC Berkeley and obtained my PhD from the University of Amsterdam during which I spent time at MIT and Sigma Computing. Before academia, I spent 2+ years in industry working on ML-driven automated data analysis tools. Full CV.