Research Areas:
- Artificial Intelligence
- Engineering Health
- Health@Luddy - Crosscutting
- Data Science
- Bioinformatics and Computational Biology
- Bioengineering
Our lab works to develop data-driven computational systems that can help engineer the behavior of multicellular systems, especially in cancer and tissue engineering.
To advance these aims, our lab is leading developments in the following areas of strength:
- Simulation of 3-D biochemical tissue environments
- Simulation of 3-D tissue biomechanics (coming soon!)
- Simulation of 3-D multicellular systems
- Estimation of cell phenotype parameters from experiments
- Data standards for multicellular biology, and data sharing
- Specific applications in breast cancer, liver cancer, tissue engineering, and other areas
Our research focuses upon developing cutting-edge computational technologies for use in patient-specific cancer simulators.
Research Projects:
- Core Technologies
- PhysiCell: Physics-based cell model
- BioFVM: A biological transport solver
- Tissue-scale model
- MultiCellDS
