Computational Genome and Protein Biology

Our group works on two complementary topics. First, we develop computational methods for predicting the structure, function, and evolution of proteins from their sequences, and some of our methods have become standard tools in their field.  Second, we want to better understand transcriptional regulation, which represents the most important level of cellular regulation. In particular, we want to know how transcriptional programs are encoded in each gene's regulatory regions. We develop computational methods to predict transcriptional output, using quantitative modeling, statistical physics, and statistical machine learning techniques.