Computation and systems biology

Prof. Eran Segal, Department of Computer Science and Applied Mathematics; Department of Molecular Cell Biology

Prof. Segal’s group develops computational models aimed at understanding how molecular components interact to carry out complex biological functions. These models allow scientists to make sense of the vast amounts of information that have recently become available about the structure and activity of various genes.

Prof. Segal’s goal is to reveal the underlying principles that control cellular processes. Since errors in these control mechanisms are involved in many diseases, including cancer, this research may also lead to an improved understanding of a variety of disorders.

His current computational and systems biology research focuses on two major directions: Developing quantitative models for all levels of gene regulation, including transcription, chromatin, and translation; and studying the relationship between nutrition, health, and gut microbes in human individuals