Lisa Ehrlinger is a Senior Researcher at the Hasso Plattner Institute (HPI), University of Potsdam, Germany, and an Adjunct Assistant Professor at the Department of Artificial Intelligence and Human Health, Mount Sinai Health System, New York, USA. Her research focuses on data quality, metadata management, and knowledge graphs for enterprise AI applications. She received her PhD in Computer Science from Johannes Kepler University Linz in 2021, where her dissertation focused on automated continuous data quality measurement. Before joining HPI, she spent more than seven years conducting applied research on data quality, data integration, and metadata management at the Software Competence Center Hagenberg, Austria, where she led the Data Management and Data Quality team. From 2022 to 2025, Lisa Ehrlinger co-organized the Quality of Databases (QDB) workshop at VLDB, fostering collaboration within the data quality research community. She serves as a Proceedings Chair for VLDB 2027, was a member of the SIGMOD/PODS 2025 Reproducibility Committee, and regularly reviews for leading journals and conferences, including ACM JDIQ, VLDB, ECIS, and IEEE BigData. She has also been a speaker at the MIT CDOIQ Symposium and member of the review board in 2023. More information is available at https://hpi.de/en/database-group/people/dr-lisa-ehrlinger.