I am an Assistant Professor of Computer Science at Boston University. My research is in the area of data systems, focusing on novel cloud data management architectures, complex hybrid transactional/analytical workloads, and new hardware (like non-volatile memories and heterogeneous computation units).
Before joining BU I was a Research Associate at Harvard University. From 2014-2017 I was a Postdoctoral Researcher at Harvard University in the Data Systems Lab with Stratos Idreos, where I was supported by a SNSF Postdoc Mobility Fellowship. I received my PhD (2014) from EPFL, where I worked in the Data-Intensive Applications and Systems Lab on studying data systems architectures for analytics exploiting new storage hardware with Anastasia Ailamaki. I obtained my MSc (2008) in Computer Systems Technology, and BSc (2005) in Informatics and Telecommunications from the University of Athens, Greece. I have also been at IBM Research as a PhD Intern in 2011, and a junior researcher in the University of Athens and the National Technical University of Athens.
Outside of the office I enjoy biking, playing basketball, and studying history.
You can download my CV here.
MS & PhD Opportunities: I am actively recruiting motivated individuals for the Master and PhD programs. If you are interested in research on data systems, especially in the areas of data analytics, cloud data management, and hardware-aware data systems architectures you are encouraged to contact me directly!
CAS CS591A1: Classes starting on January 22nd. Final syllabus is available. More information on class website!
Best of VLDB 2017
Our paper "Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing" was recognized as one of the "Best of VLDB 2017" papers, and was invited for an extended journal version at VLDBJ.
ACM SIGMOD 2018 Distinguished PC Member
Best of ACM SIGMOD 2017
Our paper "Monkey: Optimal Navigable Key-Value Store" was recognized as one of the "Best of SIGMOD 2017 papers", and was invited for an extended journal version at ACM TODS.
SIGMOD Most Reproducible Paper Award
Our paper "UpBit: Scalable In-Memory Updatable Bitmap Indexing" was awarded the SIGMOD Most Reproducible Paper Award in SIGMOD 2017.
Harvard University Certificate of Distinction in Teaching
Awarded on Fall 2015, Spring 2016, & Fall 2016, by the Derek Bok Center for Teaching and Learning at Harvard University.
SNSF Postdoc Mobility Fellowship 2015-16
IBM PhD Fellowship 2011-12
Best of VLDB 2010
Our paper "Aether: A Scalable Approach to Logging" was recognized as one of the "Best of VLDB 2010" papers, and was invited for an extended journal version at VLDBJ.