Portrait of Roua Rouatbi

Roua Rouatbi

Position
PhD student, since 2022
Country of origin
Tunisia
Expertise
Data-driven modeling of sub-cellular structures, Machine learning for biomedical image data
Research interest
Data-driven modeling of sub-cellular structures, and machine-learning methods for large biomedical image datasets.
See CV

Roua Rouatbi joined the MOSAIC group as a Ph.D. student in November 2022. She is from Tunisia.

Roua has studied a 5-year combined Bachelor/Master’s degree in Computer Science and Software Engineering at the Higher Institute of Applied Sciences and Technologies of Sousse, Tunisia. Already during those years, she engaged in various extracurricular activities: she was an international relations manager for AIESEC, an executive board member for the Google Developers Student Club, a Machine Learning workshop instructor, and she was an active member of the Certified Google Tensorflow Developers network.

In February 2022, Roua was awarded a DAAD KOSPIE scholarship and came to TU Dresden for her Master’s Thesis project. The project was a collaboration between the group of Anthony Hyman at MPI-CBG and the MOSAIC Group under the supervision of Prof. Sbalzarini. The 6-month thesis project focused on using deep-learning methods for the detection, segmentation, and classification of intracellular mesoscale structures in fluorescence microscopic images, as well as the study of how they encode spatial information and hidden patterns in such images.

In our group, Roua continues to work on data-driven modeling of sub-cellular structures and on developing machine-learning methods for large biomedical image datasets.

Publications

  1. The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes

    R. Rouatbi, J. E. Suarez Cardona and I. F. Sbalzarini

    arXiv preprint arXiv:2608.02306, 2026

    arXiv

  2. A Continuous and Interpretable Morphometric for Robust Quantification of Dynamic Biological Shapes

    R. Rouatbi, J. E. Suarez Cardona, A. Villaronga-Luque, J. V. Veenvliet and I. F. Sbalzarini

    Proc. IEEE Intl. Symposium Biomedical Imaging (ISBI), 1–5, 2026

    To the articlearXiv

  3. Integrated molecular-phenotypic profiling reveals metabolic control of morphological variation in a stem-cell-based embryo model

    A. Villaronga-Luque, R. G. Savill, N. López-Anguita, A. Bolondi, S. Garai, S. I. Gassaloglu, R. Rouatbi, K. Schmeisser, A. Poddar, L. Bauer, T. Alves, S. Traikov, J. Rodenfels, T. Chavakis, A. Bulut-Karslioglu and J. V. Veenvliet

    Cell Stem Cell 32:1–19, 2025

    To the article