I am a Research Associate at the Data Systems Laboratory at Harvard SEAS. I obtained my PhD in 2014 from EPFL in Lausanne, working at the DIAS laboratory. In 2011 I interned at IBM Watson Research Center. I received my B.Sc. in Informatics and Telecommunications, and my M.Sc. in Computer Systems Technology from University of Athens in 2005 and 2008 respectively.

Research

The goal of my research is to develop data systems and access methods that can efficiently access and analyze diverse, dynamic, large data sets. To achieve this goal my work focuses on understanding the behavior of different underlying technologies (disk and flash secondary storage, cache and main memory, processors), the design of systems and access methods (find the primitives using which we can synthesize a design), and the workload requirements (e.g., the data access skew, and the operation distribution).

In my current research I develop a unified framework to reason about the design space of access methods, and their performance trade-offs using which I build hardware-aware and workload-aware access methods and storage engines. Recent results include update-aware bitmap indexing, hardware-aided select operator, in-memory access path selection, and read-optimal LSM-Tree based key-value stores.

Experience

  • Present
    2017

    Research Associate

    Harvard University

  • 05/2017
    01/2017

    Visiting Lecturer

    Tufts University

  • 2017
    2014

    Postdoctoral Fellow

    Harvard University

  • 10/2011
    06/2011

    PhD Research Intern

    IBM Research, Watson

  • 2014
    2008

    PhD Researcher

    EPFL, Switzerland

Education

  • Ph.D. 2014

    Ph.D. in Computer Science

    EPFL, Switzerland

  • M.Sc.2008

    M.Sc. in Computer Systems Technology

    University of Athens, Greece

  • B.Sc.2005

    B.Sc. in Informatics and Telecommunications

    University of Athens, Greece

Selected Honors, Awards, and Grants

  • 2017
    Best of SIGMOD 2017
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    Our paper "Monkey: Optimal Navigable Key-Value Store" was recognized as one of the "Best SIGMOD 2017 papers", and was invited for an extended journal version at ACM Transactions on Database Systems.
  • 2017
    SIGMOD Most Reproducible Paper Award
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    Our paper "UpBit: Scalable In-Memory Updatable Bitmap Indexing" was awarded the SIGMOD Most Reproducible Paper Award in SIGMOD 2017. The award recognizes the SIGMOD 2016 papers that participated successfully in the ACM Reproducibility effort, and were the easiest to reproduce.
  • 2015-2016
    Harvard University Certificate of Distinction in Teaching
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    Awarded on Fall 2015, Spring 2016, & Fall 2016. The Derek Bok Center for Teaching and Learning at Harvard University awards the Harvard University Certificate of Distinction in Teaching to outsanding teaching fellows, teaching assistants, and course assistants.
  • 2015-2016
    SNSF Postdoc Mobility Fellowship
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    Awarded the Swiss National Science Foundation Fellowship for Postdoctoral Research outside Switzerland.
  • 2014
    Harvard University Certificate of Teaching Excellence
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    Awarded on Fall 2014. The Derek Bok Center for Teaching and Learning at Harvard University awards the Harvard University Certificate of Teaching Excellence to outstanding lecturers and preceptors.
  • 2013
    EPFL Outstanding Teaching Assistant Award
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    Awarded the Outstanding Teaching Assistant Award from Department of Computer and Communication Sciences, EPFL.
  • 2011-2012
    IBM PhD Fellowship
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    The IBM Ph.D. Fellowship Awards Program is an intensely competitive worldwide program, which honors exceptional Ph.D. students who have an interest in solving problems that are important to IBM and fundamental to innovation in many academic disciplines and areas of study.
  • 2010
    Best of VLDB 2010
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    Our paper "Aether: A Scalable Approach to Logging" was recognized as "one of the top five papers of VLDB 2010" and was invited for an extended journal version at the VLDB Journal.