I am an Assistant Professor in the Computer Science Department at the IT University of Copenhagen (ITU). My research focuses on developing data management tools that improve the efficiency of modern data analytics and data science workloads, with an emphasis on spatial workloads.

Before joining ITU, I was a postdoctoral researcher at the Technical University of Berlin (TUB) and a junior fellow at the Berlin Institute for the Foundations of Learning and Data (BIFOLD). I earned my PhD from École Polytechnique Fédérale de Lausanne (EPFL) in 2019, where I was advised by Prof. Anastasia Ailamaki. During my doctoral studies, I also spent four months as a visiting researcher at New York University (NYU) with Prof. Juliana Freire. My dissertation research focused on query processing for spatial and temporal data exploration. I obtained a Diploma M. Eng. Degree in Electrical and Computer Engineering from the National Technical University of Athens (NTUA) in 2013.

I am the recepient of a VLDB 2022 Distinguished Reviewer Award and a SIGMOD 2018 Best Demonstration Award. I serve as Diversity and Inclusion co-chair for the upcoming EDBT 2025 and as Proceedings co-chair for SIGMOD 2025.

News (all)

Happy to serve as Diversity and Inclusion chair for one more year at EDBT 2026.
New paper "Analysis of Geospatial Data Loading" accepted at the DBTest 2024 Workshop (in conjunction with SIGMOD).
Our demo paper "Multi-Backend Zonal Statistics Execution with Raven" was accepted at SIGMOD 2024!
I have accepted the invitation to serve as Proceedings co-chair for SIGMOD 2025. Looking forward to collaborating with the organizing board.
Good news! Our paper "Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies“ has been accepted for publication at PVLDB.
I am an invited speaker at the VLDB Summer School 2024. Looking forward to visiting Cluj-Napoca in July. If you are a student, consider applying.
We summarized the discussions and insights from the ICDE'22 panel on Spatial and Temporal Data Management in this article that just appeared on the Data Engineering Bulletin.
Joined both SIGMOD's and VLDB's 2025 PC.
Talking at the HPI-TU Darmstadt Joint Database Systems Seminar was fun.
New preprint available on Arxiv: Enhancing In-Memory Spatial Indexing with Learned Search.
Happy to present my research at the NERDS Seminar.
Martin presented our work on making sketching on FPGAs more resource-efficient at VLDB. Here you can find a recording of his talk. For more details, you can read our paper.
New preprint available on Arxiv: APRIL: Approximating Polygons as Raster Interval Lists.
Happy to become an AI Grid Mentor.
See all past news and events.


  • Present

    Assistant Professor

    IT University of Copenhagen, Denmark

  • 04/2022

    Postdoctoral Researcher

    Technical University of Berlin, Germany

  • 10/2016

    PhD Visiting Scholar

    New York University, USA

  • 08/2019

    PhD Researcher

    EPFL, Switzerland

  • 08/2013

    Master Intern

    EPFL, Switzerland


  • Ph.D. 2019

    Ph.D. in Computer Science

    EPFL, Switzerland

  • Diploma M. Eng.2013

    Diploma M. Eng. in Electrical and Computer Engineering

    National Technical University of Athens, Greece