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.
Recent news and publications
- Jul 4, 2023: Welcoming new undergraduate researchers in Summer 2023
- Jun 4, 2023: Welcoming Chloé Paris to the lab
- May 24, 2023: Highlighting recent lab publications