Computational and Life Sciences
The Computational and Life Sciences strategic initiative at Emory explores new scientific frontiers at the interface of computation, synthetic sciences, and systems biology.
It joins numerous strengths at Emory to establish a community that integrates the traditional science disciplines in exciting new ways, while spearheading innovative methodologies that combine computational and synthetic approaches to science and technology.
Computational and Life Sciences seeks to capture new intellectual frontiers by integrating three diverse pillars of modern scientific discovery:
- Computational Science and Informatics: Modeling, simulation, high-end computing/data analysis, for information-based knowledge discovery and synthesis. Algorithms, database theory, statistics, numerical methods, and systems design form core elements of CLS.
- Synthetic Sciences: Combining design, construction and engineering in physical sciences with molecular biology leads naturally to a synthetic biology; an approach that spans synthetic chemistry and condensed matter physics to exploit adaptive evolutionary principles for the generation of new functional materials, molecular machines, and therapeutics.
- Systems Biology: Holistic exploration of living systems across multiple scales, from molecular to cellular, organ, individual, and population. High-throughput, quantitative technologies will underpin a network-level understanding of interacting components, enabling a predictive science that unifies and enriches CLS.
The intention is to leverage synergies among these three focus areas; to excel in terms of scientific relationships, faculty, programs, and facilities; to become a driving force in education, basic and applied research, and knowledge transfer; and to provide a robust scientific foundation for other crosscutting initiatives in predictive health and neuroscience.
Progress Report (PDF 158KB)
Computational and Life Sciences