I lead the Algorithmic Data Science research group.
(1) Algorithms for Efficient Data Science, e..g, model materialization, learned indexes, data summaries.
(2) Computing with Social Applications, e.g., policy design, web mining.
Yanhao Wang, Michael Mathioudakis, Yuchen Li, and Kian-Lee Tan. “Minimum Coresets for Maxima Representation of Multidimensional Data.“ PODS 2021.
Cigdem Aslay, Martino Ciaperoni, Aristides Gionis, Michael Masthioudakis. “Workload-aware materialization for efficient variable elimination on Bayesian networks.” ICDE 2021.
Yanhao Wang, Francesco Fabbri, Michael Mathioudakis. “Streaming Submodular Maximization with Fairness Constraints.” WWW 2021.
Riku Laine, Antti Hyttinen, Michael Mathioudakis. “Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach.” Discovery Science 2020. Best Paper Award.
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.