Stratos Idreos is an assistant 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 SEAS. Stratos works in the area of data management with emphasis on designing systems for big data exploration. As we continuously increase our ability to collect more and more data, data management and efficient discovery of knowledge become major challenges for both businesses and sciences. Stratos designs big data systems which are tailored for the new challenges posed by the big data era, i.e., systems that (a) are adaptive and easy to use by non experts, requiring minimum design, tuning and set-up effort and (b) can cope with the ever increasing rates of incoming data and the ever increasing demands for fast reactions to data searches.
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 University of Trento in Italy, as well as with National University of Singapore. For his doctoral work on Database Cracking, Stratos won the 2011 ACM SIGMOD Jim Gray Doctoral Dissertation award which recognizes the best thesis internationally in the field of data management. In addition, he won the 2011 ERCIM Cor Baayen award as "most promising European young researcher in computer science and applied mathematics" from the European Research Council on Informatics and Mathematics. In 2010 he was awarded the IBM zEnterpise System Recognition Award by IBM Research, while in 2011 he also won the Challenges and Visions best paper award in the 2011 International Conference on Very Large Databases. In 2015 he was awarded the NSF CAREER Award from the US National Science Foundation and the 2015 IEEE TCDE Early Career award from the IEEE Technical Committee on Data Engineering.