I am an Associate Professor at the Department of Computer Science at the University of Helsinki. I lead the Algorithmic Data Science research group.

Research Interests
Data management for machine learning (ML), optimization of ML pipelines, ML model management and materialization, learned and workload-aware indexing, graph processing.

To see what kind of research I’m currently interested in, see the articles below:

  • Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study“. Ananth Mahadevan, Michael Mathioudakis. DOI: https://doi.org/10.3390/make4030028.
  • Workload-Aware Materialization of Junction Trees“. Martino Ciaperoni, Cigdem Aslay, Aristides Gionis, Michael Mathioudakis. EDBT 2022. DOI: https://dx.doi.org/10.5441/002/edbt.2022.06
  • Workload-Aware Materialization for Efficient Variable Elimination on Bayesian Networks“. Cigdem Aslay, Martino Ciaperoni, Aristides Gionis, Michael Masthioudakis. ICDE 2021. DOI: 10.1109/ICDE51399.2021.00104

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Short Bio Before Helsinki, I taught at INSA Lyon for one semester (2017) and spent four years (2013-2017) as a postdoctoral researcher at Aalto University. I completed my doctoral studies at the University of Toronto (2013) and diploma of engineering at the National Technical University of Athens (2006). Awards: Best paper award at the ACM Web Conference 2022 and Springer Discovery Science 2020. Best student paper award at ACM WSDM 2016 and Web Science 2017.

NEW: Special Issue on “Data Processing for Machine Learning” in the Journal of Applied Sciences, MDPI.