Gordon S. Marshall Early Career Chair and Associate Professor of Biomedical Engineering, Chemical Engineering and Materials Science, and Biological Sciences
The Computational Systems Biology Laboratory at USC develops mechanistic models of biological processes and utilize the models to:
- gain insight into the dynamics and regulation of biological systems
- synthesize and interpret experimental and clinical observations
- provide a quantitative framework to test biological hypotheses
- contribute to the development of novel therapeutics for pathological conditions
We collaborate closely with experimental and clinical researchers, in order to construct experimentally validated computational models that increase our understanding of specific biological processes. These fruitful collaborations enable experimental testing of the model predictions.
The main projects are focused on applying computational modeling to study angiogenesis, metabolism, and immunotherapy. Current projects study how these processes are exploited in cancer. The biochemical networks that regulate these processes involve numerous cell types, molecular species, and signaling pathways, and the dynamics occur on multiple timescales. Therefore, a systems biology approach, including experiment-based computational modeling, is required to understand these complex processes and their interconnectedness in cancer. Models can simulate biological processes under pathological conditions and predict interventions that restore normal physiology. Additionally, the models can identify which tumors will respond favorably to a particular therapy, aiding in the development and optimization of effective therapeutics.