I am an Assistant Professor of Computer Science at Boston University, Director and Founder of the BU Data-intensive Systems and Computing (DiSC) lab, and part of the BU MiDAS group. 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.

Computer Science Writing Resources: I fully subscribe to Renée Miller's computer science writing advice.

News

06.24.2020
I will serve as an IEEE ICDE 2021 Publicity Co-Chair with Shimin Chen
06.24.2020
Congratulations to Dimitris for receiving the Gerondelis Scholarship!
06.06.2020
Congratulations to Dimitris for receiving the Eleni Gatzoyannis Scholarship!
06.01.2020
Excited to receive a Facebook Faculty Research Award for our work for privacy guarantees through timely deletion
05.29.2020
I will serve on the Program Committee of SIGMOD 2021
05.28.2020
I will serve on the Program Committee of EDBT 2021 to take place in Nicosia, Cyprus
03.13.2020
Excited to announce that our paper on the impact of deletes on out-of-place engines is accepted at SIGMOD 2020!
04.08.2020
Congratulations to Andy for receiving the 2020 IBM PhD Fellowship for his work on Robust Data Systems!
03.02.2020
Visit Database Readings to find out more about Database Research Classics and the History (and future) of Database Research
02.01.2020
Many thanks to Red Hat for a donation to support our work on software-hardware co-design for near-memory query processing
01.27.2020
I will serve on the Program Committee for ACM DEBS to take place in Montreal, Canada
01.18.2020
One talk and three posters at "North East Database Day 2020" to discuss our work on Bloom filters on LSM trees, robust data engine designs, and the impact of out-of-place deletions!
12.20.2019
I will serve on the Program Committee of VLDB 2021 to take place in Copenhagen, Denmark
11.15.2019
Our paper on "Adaptive partitioning and indexing for in situ query processing" is now published!
10.04.2019
Gave a talk at WPI Colloquium
10.01.2019
New paper on "Optimal Column Layout for Hybrid Workloads"
09.27.2019
Visited and gave a talk at NetApp
07.08.2019
Visited and gave a talk at TU Berlin
05.20.2019
Awarded NSF grant supporting research on "Optimal Data Organization for HTAP Data Systems"
03.12.2019
I will serve on the Program Committee for VLDB 2020 to take place in Tokyo, Japan
02.07.2019
I will serve on the Program Committee for ACM SIGMOD 2020 to take place in Portland, Oregon
02.06.2019
Shared my views on the Invisible Foundations of Data Science panel, at BU Data Science Day 2019
01.06.2019
I will serve on the Demonstrations Program Committee for VLDB 2019 to take place in Los Angeles, California

Select Honors and Awards


2020

Facebook Faculty Research Award


2019

NSF CRII Award


2018

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


2017

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.


2016

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.


2014

SNSF Postdoc Mobility Fellowship 2015-16


2011

IBM PhD Fellowship 2011-12


2010

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.