Pınar Tözün

Pınar Tözün is an Associate Professor at the IT University of Copenhagen (ITU), Denmark, where she serves as the Section Head of the Data, Systems, and Robotics section and leads the Resource-Aware Data Systems (RAD) research team. She has been a faculty member at ITU since 2018, contributing to advanced research in data-intensive computing systems.

Her research interests span the efficient utilization of modern hardware in data systems, with a focus on resource-aware machine learning, data processing on resource-constrained devices, and the integration of emerging technologies such as SSDs and Compute Express Link (CXL) into data management architectures. Her work bridges systems, databases, and machine learning, aiming to optimize performance and efficiency in next-generation computing environments.

Pınar Tözün's research has been supported by major funding agencies including the Independent Research Fund Denmark, Novo Nordisk Foundation, Innovation Fund Denmark, Swiss National Science Foundation, and the European Union’s Horizon 2020 programme. These grants reflect the impact and relevance of her work in both academic and industrial contexts.

She previously worked as a research staff member at IBM Almaden Research Center in San Jose, CA, USA, where she contributed to the development of IBM Db2 Event Store. She received her PhD from École polytechnique fédérale de Lausanne (EPFL) in 2014 under the supervision of Prof. Anastasia Ailamaki, where she was a key developer of the Shore-MT storage manager. Her bachelor’s degree is in Computer Engineering from Koç University, Istanbul, Turkey, where she was advised by Prof. Serdar Taşıran.

She is actively involved in research leadership and innovation, guiding the RAD team in advancing data systems research. Her work continues to influence the design of efficient, scalable, and hardware-aware data platforms.