The overarching goal of my research is to develop reliable computational methods that will allow for characterizing and modeling temporal dynamics of brain activity, without averaging data in either space or time. I firmly believe that the spatiotemporal richness in brain activity might hold the key to finding the person- and disorder-centric biomarkers. Currently, funded by a New Innovator Award (DP2; NIH) and a NIH R01, we are developing methods to model the temporal dynamics of brain activity in individuals with psychiatric disorders and healthy controls.