Gordon S. Marshall Early Career Chair and Associate Professor of Biomedical Engineering and Biological Sciences
- Doctoral Degree, Chemical Engineering, Northwestern University
- Bachelor's Degree, Chemical Engineering, Florida A & M University
Stacey D. Finley, Ph.D., is an Associate professor in the Department of Biomedical Engineering at the University of Southern California. She is holder of the Gordon S. Marshall Early Career Chair and the Director of the Center for Computational Modeling of Cancer (http://modelingcancer.usc.edu). Dr. Finley has a joint appointment in the Mork Family Department of Chemical Engineering and Materials Science and the Department of Biological Sciences (Quantitative and Computational Biology section). She is also a member of the Norris Comprehensive Cancer Center.
Dr. Finley received her Bachelor's degree in Chemical Engineering from Florida A & M University in 2004. Her graduate studies were completed in 2009 in Chemical Engineering at Northwestern University and involved using computational tools to predict and estimate the feasibility of novel biodegradation pathways. Her postdoctoral studies at Johns Hopkins University focused on computational modeling of VEGF signaling pathways. She was awarded postdoctoral fellowships from the NIH National Research Service Award and the UNCF/Merck Science Initiative. Dr. Finley's current research applies a systems biology approach to develop molecular-detailed computational models of biological processes related to human disease.
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.
- 2015 Diverse: Issues in Higher Education Emerging Scholar Award
- 2014 National Academy of Engineering Participant in Frontiers in Engineering Education Symposium
- 2010 National Institutes of Health Ruth L. Kirschstein National Research Service Award
- 2010 Elmer Gaden Jr. Award
- 2008 Merck Poster Award
- 2006 National Science Foundation Graduate Research Fellowship