معرفی
Dan Olteanu is a Professor of Computer Science at the University of Zurich (since 2020) and holds a part-time role as a Computer Scientist at RelationalAI. Previously, he was a Professor at the University of Oxford (2016–2020) and had visiting roles at UC Berkeley (2013–2014) and LogicBlox (consulting, 2013–2017). His research focuses on database systems, probabilistic data management, and theoretical foundations of data processing.
Education: PhD in Computer Science from Ludwig Maximilian University of Munich (2005), Diplom (M.Sc.) from Polytechnic University of Bucharest (2000). Additional roles include Fellow and Director of IT at St Cross College, Oxford.
Research Interests: Factorized databases (FDB), probabilistic databases (SPROUT, ENFrame), Datalog engines (RDFox), query optimization (Distributed Query Optimization), and machine learning over relational data.
Publications highlight contributions to incremental query processing, probabilistic inference, and scalable algorithms. Notable work includes the SPROUT query engine, FDB system, and theoretical results on query tractability.
Awards: Best Paper Award at ICDT 2019. Grants from ERC, EPSRC, Google, and industry partnerships with Amazon, Microsoft, and others.
Students advised include Robert Fink, Maximilian Schleich, and Haozhe Zhang. Active in academic service, editing journals, and organizing conferences like BNCOD and SIGMOD workshops.
