Petr Šulc’s research focuses on application of computational modeling and statistical physics approaches to complex systems. In particular, his group uses computational models to study problems in biology, and bio-inspired nanotechnology systems. He is mainly interested in nucleic acids modeling (DNA and RNA) using coarse-grained models, which allow for simulations of longer time-scales and larger systems than if fully-atomistic representation is used. Such an approach is allows for efficient studies of nanotechnology system, as well as biologically relevant interactions between nucleic acids. His research group is furthermore interested in applying computer simulations and statistical physics analysis to study properties of RNA molecules in vivo, in relation to RNAs expressed in tumor cells and viral genomes. The research is done in active collaboration with experimental groups. He is an assistant professor at ASU. Prior to ASU, he was a fellow in physics and biology with The Rockefeller University (2014-2017) and served as a graduate research assistant with the Center for Nonlinear Studies at the Los Alamos National Laboratory, New Mexico (2009-2010). His prior research also involved mathematical modeling and optimization of smart-grid systems.