David Gifford develops new machine learning techniques and algorithms to model the transcriptional regulatory networks that control gene expression programs in living cells.

Our group has a very productive interdisciplinary collaboration with leading biologists that has allowed us to tackle extraordinarily difficult and interesting problems that underlie cellular function and development.

Current work in our laboratory is examining how we can computationally model chromatin modifying complexes that are associated with the genome of living yeast cells. New kinds of mechanistic computational models are necessary to capture how chromatin structure encodes cellular memory, and how the state of this memory is used to control gene expression.