Mattia Cerrato

Office 03-621

Staudingerweg 9

55128 Mainz, Germany

I am a permanent Lecturer in the Data Mining group at Johannes Gutenberg-Universität Mainz, led by Prof. Stefan Kramer. I am a Principal Investigator for the TOP-ML project, which deals with understanding the trade-offs between properties of machine learning algorithms beyond performance. Before that, I was a PhD. student in the Machine Learning Group at University of Torino, my hometown. Prof. Roberto Esposito was my advisor for three years.

My research interests are centered around deep neural networks - I mostly research algorithms to constrain and understand them better. I have published papers about algorithmic fairness, interpretability and connections between them. I care deeply about making sure that AI applications can be beneficial to everyone - or at least not harm anybody.

If you are an undergrad and are interested in working on deep learning, interpretability and fairness please check out the projects page.

news

Jul 15, 2026	Happy to share that we had four papers accepted this year: two at FAccT 2026 and two at AIES 2026!
Sep 1, 2025	I have joined the Board of Directors of the European Association for Algorithmic Fairness (EAAF), the community behind the European Conference on Algorithmic Fairness (ECAF).
Aug 1, 2025	I started a permanent Lecturer position in the Data Mining group at Johannes Gutenberg-Universität Mainz.
Jul 12, 2023	My paper “FairSwiRL: fair semi-supervised classification with representation learning” has been published in the Machine Learning journal. This is joint work with Shuyi Yang, Dino Ienco, Ruggero Pensa and Roberto Esposito. You can read it here.
Nov 20, 2022	My paper “Invariant Representations with Stochastically Quantized Neural Networks” has been accepted at AAAI23! This is work done alongside Marius Koppel, Roberto Esposito and Stefan Kramer. Read the preprint here.