Anne Hartebrodt

Dr. Anne Hartebrodt is a Postdoctoral Researcher at the Biomedical Network Science Lab within the Department of Artificial Intelligence in Biomedical Engineering at Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany. Her work focuses on federated learning, network-based embeddings, and carbon-aware computing in bioinformatics. She holds a PhD in Bioinformatics from the University of Southern Denmark (2022) and Master's and Bachelor's degrees in Bioinformatics from Technical University Munich and Ludwig Maximilian University (2018, 2016).

Her research interests span federated machine learning, gene regulatory networks, and computational biology. She has contributed to high-impact studies on single-cell multi-omics analysis, extrachromosomal DNA reconstruction, and cancer immunotherapy mechanisms. Current projects include the NetMap initiative, funded by BMBF, developing dimensionality reduction methods for single-cell RNA sequencing data to study CD4 T cell exhaustion.

Dr. Hartebrodt supervises multiple PhD students exploring topics like alternative splicing-aware networks and carbon-aware hyperparameter optimization. She has co-authored over 10 peer-reviewed articles and collaborates with institutions like Odense University Hospital and the University of Southern Denmark.