Computational RNA Biology and Biomolecular Engineering
Recent advances in genomics, chemistry, and biotechnology have opened up new possibilities for studying RNA structure and dynamics at the genome scale and at unprecedented resolution and throughput. Our group develops computational and statistical methods for robust and efficient analysis of the information generated by such novel and emerging technologies and for utilizing it to better infer RNA dynamics and structure-function relationships. Another goal of our group is to develop tools that will assist the engineering of novel RNAs for a range of synthetic biology and therapeutic applications. Our work is at the interface between applied math, statistics, and biochemistry, and draws on tools from machine learning, probabilistic modeling, and optimization.