Dr. Hosseinizadeh’s research covers different topics in computational biophysics. His work centers around the development of novel methods for the analysis of large-scale data sets from biological molecules to understand the structure and function of these objects. A particular focus of his research is developing data-driven machine learning algorithms to extract the ultrafast structural dynamics of biomolecules at high spatial and temporal resolutions.