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.

Recent News

25-Jul-2022
Our paper "LSM-Trees Under (Memory) Pressure" has been accepted for presentation at ADMS 2022 (co-located with VLDB 2022)
15-Jul-2022
Our paper "A Benchmark on Data Sortedness" has been accepted for presentation at TPCTC 2022 (co-located with VLDB 2022)
16-Jun-2022
Our paper "Relational Memory: Native In-Memory Accesses on Rows and Columns" has been accepted for presentation at EDBT 2023
31-May-2022
I will spend the next three months as a Visiting Faculty at Meta
01-Apr-2022
I will serve on the Program Committee for ADMS 2022
30-Mar-2022
DiSC lab receives NSF CAREER award for building Robust LSM-based Data Stores
15-Mar-2022
Our paper "Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty" has been accepted for presentation at VLDB 2022
03-Mar-2022
DiSC lab receives a research gift from Meta (Facebook)
20-Feb-2022
Our demo "Compactionary: A Dictionary for LSM Compactions" has been accepted for presentation at SIGMOD 2022
01-Feb-2022
Our Tutorial on "Dissecting, Designing, and Optimizing LSM-based Data Stores" has been accepted for presentation at SIGMOD 2022
14-Jan-2022
Our paper on "Query Language Support for Timely Data Deletion" has been accepted at EDBT 2022
18-Dec-2021
DiSC lab receives a RedHat Incubation Award for research on building software-hardware co-designed data systems (joint work with Prof. Mancuso)
18-Dec-2021
DiSC lab receives a RedHat Incubation Award for research on robust tuning for data systems (joint work with Prof. Terzi)
15-Dec-2021
I will serve as co-chair of the SIGMOD Artifacts and Reproducibility Committee for SIGMOD 2023 with Prof. Holger Pirk
14-Dec-2021
I will serve on the Program Committee for SIGMOD 2023
24-Sep-2021
I will serve on the Program Committee for the SIGMOD 2022 Industry Track
09-Sep-2021
DiSC lab receives donation from Cisco for research on building software-hardware co-designed data systems (joint work with Prof. Mancuso)
31-Aug-2021
Our column on "Transparent Data Transformation" is now published at SIGMOD Record
01-Aug-2021
Our paper on "Telomere: Real-Time NAND Flash Storage" is now published at ACM TECS Special Issue
20-Oct-2021
I will serve as the Proceedings Chair for VLDB 2023
01-Jul-2021
New VLDB paper on "Constructing and Analyzing the LSM Compaction Design Space" will be presented later this summer

Select Honors and Awards


2022

NSF CAREER Award


2021

RedHat Collaboratory Research Incubation Awards (received two awards)

  • software-hardware co-designed data systems (joint work with Prof. Mancuso)
  • robust tuning for data systems (joint work with Prof. Terzi)


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.