Stratos Idreos is a Gordon McKay Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences. He leads DASlab, the Data Systems Laboratory at Harvard. His research focuses on building a grammar for systems with the goal of making it dramatically easier or even automating in many cases the design of workload and hardware-conscious systems for diverse applications including relational data analytics, NoSQL, machine learning, Blockchain, and data science. This leads to systems that are often ten or a hundred times faster, making big data processing more possible and more accessible.
Stratos obtained his Ph.D. from University of Amsterdam in the Netherlands. 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, with IBM Almaden USA, with EPFL Switzerland, with the University of Trento in Italy, as well as with National University of Singapore.
For his doctoral work on Database Cracking, Stratos was awarded the 2011 ACM SIGMOD Jim Gray Doctoral Dissertation award and the 2011 ERCIM Cor Baayen award. In 2015 he was awarded the IEEE TCDE Rising Star Award from the IEEE Technical Committee on Data Engineering for his work on adaptive data systems. In 2020 he received the 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. Stratos was PC Chair of ACM SIGMOD 2021 and IEEE ICDE 2022, he 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. Stratos is also a recipient of a NSF Career Award, a DOE Early Career Award, a Sloan Research Fellowship and the Capers W. McDonald and Marion K. McDonald Award for Excellence in Mentoring and Advising.