People
The PhD students I am (co-)supervising
Sedir Mohammed (With Felix Naumann)
Hasso Plattner Institute
University of Potsdam
(2022 - 2026, expected)
Yichun Wang (With Sebastian Schelter & Paul Groth)
INDE lab
University of Amsterdam
(2024 - 2028, expected)
David Jackson (With Paul Groth)
INDE lab
University of Amsterdam
(2024 - 2028, expected)
Master Students
- Mohammed Rushad: Evaluation of agents in agentic AI systems (University of Amsterdam, Netherlands, 2026)
- Nhi Mai: The impact of data enrichment on machine learning models using tabular datasets (University of Amsterdam, Netherlands, 2026)
- Sathya Sravya Vallabhajyosyula: Natural language interface for corporate data model (University of Amsterdam, Netherlands, 2026)
- Chuyi Tong: Trigger-Focused backdoor attacks in textual machine learning (University of Amsterdam, Netherlands, 2026)
- Haraldur Bjarni Davidsson: Development of a context-aware training assistant for equestrians of the Icelandic horse using RAG with dynamic user data (University of Amsterdam, Netherlands, 2025)
Alumni
- Maarten Drinhuyzen: Increasing marketing uplift through causal reward modeling in contextual bandits(University of Amsterdam, Netherlands, 2025)
- Coen Mol: The influence of languages on natural language to structured query language techniques (University of Amsterdam, Netherlands, 2025)
- Yuki Sun : Interactive data cleaning with ReAct-based LLM agent(University of Amsterdam, Netherlands, 2025)
- Yifeng Zhao: Efficient table error detection with LLMs (University of Amsterdam, Netherlands, 2025)
- Chenyue Zhang: A Multi-Agent LLM framework for automated data quality analysis and visualization (University of Amsterdam, Netherlands, 2025)
- Vardan Narula: Leveraging AI for automated functional test case generation and execution to enhance the software development lifecycle (University of Amsterdam, Netherlands, 2025)
- Jing Hu: Transaction filtering using entity linking to sanctioned entity knowledge Base (University of Amsterdam, Netherlands, 2024)
- Dimitri Hooftman: Using derived source code information to enhance contextualized code generation of Large Language Models (University of Amsterdam, Netherlands, 2024)
- Daniel Garcia Gaviria : Evaluating the Effectivity of AutoML Platforms and Large Language Models for Automated Data Cleaning in Machine Learning (University of Amsterdam, Netherlands, 2024)
- Lisa Koeritz: Quantifying the Diversity of a Structured Dataset (Master Student, Hasso Plattner Institute, Germany, 2023)
- Jonathan Haas: Semantic Type Detection for Numeric Data (Master Student, Hasso Plattner Institute, Germany, 2023)
- Jonas Hering: Discovery of Complementation Dependencies (Master Student, Hasso Plattner Institute, Germany, 2022)
- Tobias Niedling: Inferring Regular Expressions from Database Columns (Master Student, Hasso Plattner Institute, Germany, 2021)
- Fabian Windheuser: Finding Related Tables on the Web (Master Student, Hasso Plattner Institute, Germany, 2019)