Computational Systems Biology

Types of Research

Computational systems biology uses computational and mathematical modeling to study complex biological systems at the molecular, cellular, and tissue levels. It combines techniques from biology, computer science, mathematics, and physics to develop models of biological processes and systems, with the goal of understanding how biological systems function and how they are perturbed in disease. Computational systems biology employs a range of tools, including mathematical modeling, simulation, data analysis, and machine learning, to integrate experimental data from a variety of sources, including genomics, proteomics, and metabolomics, into comprehensive models of biological processes. These models can then be used to make predictions about the behavior of biological systems under different conditions, and to identify potential targets for drug development and disease intervention.

Focus Areas

• Quantitative imaging and single-cell analysis
• Biological network analysis and reconstruction
• Modeling genetic regulatory circuits