(1) Efficient Data Science, e..g, model materialization, learned indexes, data summaries.
(2) Data Science Applications, e.g., policy design.
To see what kind of research I’m currently interested in, see the articles below:
“Certifiable Machine Unlearning for Linear Models“. Ananth Mahadevan, Michael Mathioudakis. Pre-print: https://arxiv.org/abs/2106.15093.
“Workload-Aware Materialization of Junction Trees“. Martino Ciaperoni, Cigdem Aslay, Aristides Gionis, Michael Mathioudakis. EDBT 2022. Pre-print: https://arxiv.org/abs/2110.03475
“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
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 and undergraduate studies at the National Technical University of Athens.