About the lab's research

We use translational bioinformatics and artificial intelligence to discover new links between chemical exposures and human disease.

Our original contributions include:

  • Data: Biomedical knowledge graphs and knowledge infrastructures.
  • Methods: Graph machine learning, integrative omics, automated machine learning.
  • Applications: Predicting and explaining outcomes of exposure to environmental or pharmaceutical chemicals.

Current research projects

Click here for a longer description of these projects.