talks
Below, you can find a selection of talks, lectures, panels, and podcasts.
Talks
- What AI is leaving on the table: Towards democratizing insights from tabular data (Feb 2026)
- What are we asking from Tabular Data? [pdf] (Dec 2025)
- Keynote at AI for Tabular Data workshop @ EurIPS
- Keynote at AI for Tabular Data workshop @ EurIPS
- Towards Contextualizing Sensitive Data Detection [pdf] (Oct 2025)
- UN ECE Expert Meeting on Statistical Data Confidentiality
- UN ECE Expert Meeting on Statistical Data Confidentiality
- Open-domain querying over structured data [pdf] (May-Oct 2025)
- IBM Seminar on Semantics and Tabular Data
- SAP AI Research Retreat
- Amsterdam UMC
- ELLIS Scientific Day
- IBM Seminar on Semantics and Tabular Data
- What Table Representation Learning brings to Data Systems [pdf] (Dec 2024)
- COMPASS Seminar ETH Zürich
- CWI Lectures
- COMPASS Seminar ETH Zürich
- Retrieval Systems for Structured Data: the missing piece for grounding LLM-powered query interfaces in factual data [pdf] (Oct 2024)
- BIDS Seminar UC Berkeley
- SF Tech Meetup on AI and Relational Data
- BIDS Seminar UC Berkeley
- Advances, challenges, and opportunities in Table Representation Learning [pdf] (March-Aug 2024)
- Microsoft Gray Systems Lab
- Google Systems Research
- UC Berkeley
- University of Washington
- Microsoft Gray Systems Lab
- Towards Table Representation Learning for end-to-end data management and analysis (March-July 2024)
- SODA Team, Inria-Saclay
- MLSys and SysML workshop @ BTW
- Hasso Plattner Institute
- Systems Group, TU Darmstadt
- SODA Team, Inria-Saclay
Guest Lectures
- Representation Learning and Generative Models for Tabular Data
- University of Amsterdam (2026)
- BIFOLD TU Berlin (2025)
- University of Amsterdam (2026)
Panels
-
Neural Relational Data: Tabular Foundation Models, LLMs… or both?, VLDB conference, London, September 2025
-
Transformers at Work, Zeta Alpha Amsterdam, September 2023
Podcasts
-
You’re always (always!) dealing with many (many!) tables [link]
Sample Space podcast (Probabl AI), Vincent Warmerdam, September 2024 -
Table Representation Learning [link]
Weaviate Podcast, Connor Shorten, November 2023 -
GitTables: A Large-Scale Corpus of Relational Tables [link]
Disseminate Podcast, Jack Waudby, July 2023