My research integrates human brain imaging and computational neuroscience methods to study brain dynamics in health and disease. I work closely with animal neurophysiologist and clinicians to develop data constrained neural models that are functionally and translationally relevant. A main theme of my lab's research is to develop biophysically principled models of neural circuits that bridge the critical gap between human brain imaging signals (MEG/EEG) and their underlying cellular and network level generators. Current projects apply such interdisciplinary techniques to study the mechanisms and functions of neural dynamics, including brain rhythms, in healthy functions such as perception, attention and decision making, and in neural pathologies such as Parkinson's disease and Essential Tremor. We also study the impact of brain stimulation (DBS, tACS, TMS), and mind-body practices, on brain dynamics with an ultimate goal of improving treatments for neuropatholgy.