Welcome to the Biomedical Network Science Lab!

The Biomedical Network Science (BIONETS) lab investigates molecular disease mechanisms using techniques from network science, combinatorial optimization, and artificial intelligence. We develop algorithms and tools to mine multi-omics data for such mechanisms and to individuate novel strategies for mechanistically grounded drug repurposing and causally effective treatments of complex diseases. We also develop privacy-preserving decentralized biomedical AI solutions, which enable cross-institutional studies on sensitive data.

New Paper: “On the Privacy of Federated Pipelines” (SIGIR 2021)

We are delighted to announce that our ACM SIGIR 2021 paper "On the Privacy of Federated Pipelines" is now available in the ACM DL. Using an example from federated GWAS, we show that privacy-preservation in FL is non-transitive, highlighting the need for hybrid FL.