Systems Biology Approaches for Predicting Cancer Cell Behaviors and Rationally Designing Therapeutic Interventions
Friday, September 6, 2024
10:30 am - 11:30 am
About the Event
This talk will explore the integration of data science with mechanistic modeling to identify druggable signaling pathways in pancreatic cancer cells, focusing on challenges like cellular variability and phenotypic plasticity within tumors. By combining biochemical measurements and high-content imaging, the models capture dynamic, multivariate signaling processes that lead to chemoresistance. These predictions are validated in mouse models, cell cultures, and human patient data, offering insights for designing more effective drug combinations and guiding preclinical and clinical studies.
About the Speaker
Matthew Lazzara, Ph.D. is Professor of Chemical and Biomedical Engineering at the University of Virginia and co-director of the UVA Cancer Systems Biology U54 Center. He earned his Ph.D. in Chemical Engineering from MIT, where he also completed postdoctoral studies in Biological Engineering. His research focuses on using experimental and computational methods to study cancer cell signaling and identify combination therapies. Lazzara’s work has been funded by the NIH, NSF and American Cancer Society. He has received several prestigious awards, including the American Cancer Society Research Scholar Grant.
- Location
- In person
- Cost
- Free