Odysseas Papapetrou is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He joined TU/e in 2018, after studying and working in Cyprus, Germany, Greece, and Switzerland. He leads the Scalable Online Data Management (SODATA) group, whose research focuses on data-intensive systems. Modern applications—from online services and scientific instruments to smart infrastructure and IoT—generate data at volumes and speeds beyond the capabilities of traditional data management techniques, making timely analysis and decision-making challenging. His group develops methods and systems that enable complex analytics and machine learning to operate in near real time, often within milliseconds, and under strict computational and memory constraints. The group designs approximate algorithms and compact data structures (synopses) to efficiently summarize high-volume data streams and time series, and builds distributed algorithms that scale across hundreds of machines. This work enables applications ranging from sensor-network analytics to efficient and scalable machine-learning training.