Fabian Woller

FAU Profile Center Medical Engineering (FAU MT)

Research associates

Contact

Since November 2024
Visiting Research Scientist at the Institute for Biomedicine, Eurac Research, Bolzano, Italy.
Since November 2023
PhD candidate at the Biomedical Network Science Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
October 2022 – September 2023
Student assistant at Chair of Analytics & Mixed-Integer Optimization, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
October 2021 – September 2023
MSc Computer Science, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
October 2019 – September 2022
Student assistant at Chair of Applied Mathematics (Modeling and Numerics), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
October 2018 – September 2021
BSc Mathematics, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.

Arend L., Woller F., Rehor B., Emmert D., Frasnelli J., Fuchsberger C., Blumenthal DB., List M.:
Bridging the gap between GWAS and network medicine with GNExT
In: Nature Genetics (2026)
ISSN: 1061-4036
DOI: 10.1038/s41588-026-02708-6
Woller F., Martini P., Sen S., Blumenthal DB., Hartebrodt A.:
SignifiKANTE: Efficient P-value computation for gene regulatory networks
In: Bioinformatics 42 (2026), Article No.: btag531
ISSN: 1367-4803
DOI: 10.1093/bioinformatics/btag531

Woller F., Arend L., Fuchsberger C., List M., Blumenthal DB.:
NApy: efficient statistics in Python for large-scale heterogeneous data with enhanced support for missing data
In: GigaScience 14 (2025), Article No.: giaf140
ISSN: 2047-217X
DOI: 10.1093/gigascience/giaf140

Gärttner S., Frank F., Woller F., Meier A., Ray N.:
Estimating relative diffusion from 3D micro-CT images using CNNs
In: Artificial Intelligence in Geosciences 4 (2023), p. 199-208
ISSN: 2666-5441
DOI: 10.1016/j.aiig.2023.11.001

Winter Semester 2023/2024: Algorithmic Bioinformatics (Exercises)
Summer Semester 2024: Introduction to Network Science (Exercises), Project Biomedical Network Science (Student supervision)
Summer Semester 2025: Introduction to Network Science (Exercises), Project Biomedical Network Science (Student supervision)
Winter Semester 2025/2026: Algorithmic Bioinformatics (Exercises), Project Biomedical Network Science (Student supervision)
Summer Semester 2026: Introduction to Network Science (Exercises), Project Biomedical Network Science (Student supervision)

Matthäus Reschka: Autoencoder-based Method for Low-Dimensional Embedding Generation of Partially Observed Heterogeneous Data (co-supervision with Lis Arend, TU Munich)
Andrea Raithel: Differential Analysis of Context-Specific Multi-Omics Networks (co-supervision with Lis Arend, TU Munich)
Martin Meyer ter Vehn: Correlation Measures Informed by Missing Data