Christos Chatzis

Uncovering structure in high-dimensional and dynamic datasets.

Christos Chatzis

About Me

I am currently a PhD student at Simula Metropolitan Center for Digital Engineering (SimulaMet) studying matrix and tensor factorizations, specifically for temporal data.

My background is on computer science, specializing in data mining and scientific computing. I am especially intrigued by unsupervised machine learning due to its capacity to discover patterns that are not predefined and relationships we did not even know to look for.

Education

Present - Ph.D. in Engineering Science, Simula Metropolitan Center for Digital Engineering
2022 - M.Sc. in Computer Science, National and Kapodistrian University of Athens
2020 - B.Sc. in Informatics & Telecommunications, National and Kapodistrian University of Athens

Research Interests

Tensor factorizations Data Mining Unsupervised Learning Scientific Computing

Recent Publications

Revealing Subject-Specific Temporal Patterns from Longitudinal Data

Christos Chatzis, David Horner, Rasmus Bro, Ann-Marie Malby Schoos, Morten Arendt Rasmussen, Evrim Acar

bioRxiv, 2026

tPARAFAC2: tracking evolving patterns in (incomplete) temporal data

Christos Chatzis, Carla Schenker, Max Pfeffer, Evrim Acar

Data Mining and Knowledge Discovery, 2025

dCMF: Learning interpretable evolving patterns from temporal multiway data

Christos Chatzis, Carla Schenker, Jérémy E. Cohen, Evrim Acar

arXiv preprints, 2025

Recent News

A new preprint is available Revealing Subject-Specific Temporal Patterns from Longitudinal Data.

A new preprint is available Extracting host-specific developmental signatures from longitudinal microbiome data.