Biomedical Network Science Lab

The Biomedical Network Science (BIONETS) Lab investigates molecular mechanisms, using techniques from network science, (graph-based) AI and combinatorial optimization. We develop algorithms, AI models, and software tools to mine omics data for such mechanisms, with the aim to better understand cellular pathways and, ultimately, pave the way for targeted and causally effective treatments of complex diseases. We also develop privacy-preserving decentralized biomedical AI solutions, which enable cross-institutional studies on sensitive data. Finally, we are interested in meta-scientific questions such as reproducibility and the impact of data bias on biomedical AI systems.