I'm a postdoctoral fellow at UC Berkeley, and incoming faculty at CWI Amsterdam. Prior to joining UCB, I did my PhD at the University of Amsterdam with research at Sigma Computing and the MIT Media Lab. In my opinion, tables are a promising modality for representation and generative learning with too much application potential to ignore. Therefore, I research Table Representation Learning (check out this index of recent research on TRL) and applications in data management and analysis. Broadly, my objective is to make insight retrieval from structured data a walk in the park for everyone. Some of my research in this area can be found below. To stimulate research on TRL, I founded the Table Representation Learning workshop (@NeurIPS). Within the wider research community, I co-organize the Data Management for E2E ML workshop at SIGMOD and the Table-to-KG matching (SemTab) challenge. I review for various tracks/workshops at e.g. VLDB, SIGMOD, NeurIPS, ICLR, WWW. Before starting in academia, I was a data scientist for 2+ years, working on automating ML-driven analyses.