Big Data Systems

Stratos Idreos is a Gordon McKay Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS). He leads DASlab, the Data Systems Laboratory at SEAS. His research focuses on building a grammar for data systems with the goal of making it dramatically easier or even automating in some cases the design of workload and hardware conscious data systems for diverse applications including relational, NoSQL, machine learning, and Blockchain.

Idreos obtained his PhD from University of Amsterdam. Before joining Harvard he was a tenure-track scientific staff member with the Dutch National Research Center for Mathematics and Computer Science and held research internship and visiting professor positions with Microsoft Research, Redmond USA, IBM Almaden USA, EPFL Switzerland, and the University of Trento in Italy, as well as with National University of Singapore.

For his doctoral work on database cracking, Idreos won the 2011 Association for Computing Machinery's Special Interest Group on Management of Data (AMC SIGMOD) Jim Gray Doctoral Dissertation Award which recognizes the best thesis internationally in the field of data management. In 2015 he was awarded The Institute of Electrical and Electronics Engineers (IEEE) Technical Committee on Data Engineering (TCDE) Rising Star Award for his work on adaptive data systems. In 2020 he received the Association for Computing Machinery Special Interest Group on Management of Data (ACM SIGMOD) Contributions award for his work on reproducible research and in 2022 he received the ACM SIGMOD Test of Time Award for his work on raw data processing. Idreos is also a recipient of the National Science Foundation Career award and the Department of Energy Early Career award. He was PC Chair of ACM SIGMOD 2021 and IEEE ICDE 2022, is the founding editor of the ACM/IMS Journal of Data Science, and the chair of the ACM Symposium on Cloud Computing (SoCC) Steering Committee.