Biological systems span an enormous range of scales – from proteins to cells to tissues to ecosystems. Rama Ranganathan asserts that biological systems are difficult to understand because their components are heterogeneous, cooperative, and modular. He identifies three major questions facing computational biologists as they try to mathematically model the behavior and evolution of biological systems.
Rama Ranganathan received his B.S. in Bioengineering from the University of California, Berkeley and his Ph.D. and M.D. degrees from UC San Diego where he studied signal transduction in the invertebrate visual system. He was a post-doctoral fellow at Harvard Medical School, where he studied K+ channels, and at The Salk Institute, where he learned… Continue Reading