Dan Olteanu

Professor of Computer Science at University of Zurich

Dan Olteanu is a prominent Professor of Computer Science at the University of Zurich, where he leads the Data Systems and Theory (DaST) group within the Department of Informatics. He has held this position since May 2020, following a distinguished tenure at the University of Oxford, where he was a professor from 2016 to 2020.1 2 3

Academic Background and Career

Education: Olteanu earned his degree in Computer Science from the Polytechnic University of Bucharest, Romania.
Previous Positions:
- Before joining the University of Zurich, he served as a professor at the University of Oxford and held various academic roles, including visiting professorships in institutions like UC Berkeley and temporary professorships in Germany.1 2
- He has also worked as a postdoctoral researcher and teaching assistant in several prestigious universities, contributing significantly to his field throughout his career.

Research Interests

Olteanu's research focuses on data processing, particularly in developing algorithms and systems that address complex computational challenges. His work spans both theoretical foundations and practical applications, including:

Probabilistic databases: Developing models and languages for handling uncertainty in data.
Data systems: Building scalable systems that integrate well-understood theoretical principles with practical implementations.
Datalog engines: Collaborating on projects that enhance database engines with probabilistic capabilities.1 2 3

Contributions and Projects

He has been involved in numerous research projects supported by various organizations, including Google and the European Union. His contributions have advanced fields such as distributed query optimization and graph data management.1 2

Professional Affiliations

In addition to his academic roles, Dan Olteanu is active in consulting for companies like RelationalAI and has been involved with various research initiatives and collaborations throughout his career.1 2

For more detailed insights into his work and contributions, you can find him on LinkedIn under the username danolteanu.4