The overarching goal of Brain Dyanamics Lab is to develop computational methods that could allow for anchoring psychiatric diagnosis into biological features (e.g., neural circuits, spatiotemporal neurodynamics). The lab is funded through an NIH Director’s New Innovator Award (DP2), an NIMH R01, and a faculty scholar award from Stanford’s Maternal and Child Health Research Institute. Our lab excels in developing data-driven computational methods to generate clinically and behaviorally relevant insights from high-dimensional biological data (e.g., neuroimaging) without necessarily averaging the data at the outset. The lab also actively pursue developing novel technologies for experimental design and data collection for enhancing human cognition (e.g., creativity and collaboration). Lastly, the lab also uses large-scale biophysical network modeling approaches to study effects of neuromodulation via TMS and pharmacology (e.g., psychedelics).
Assistant Professor
Stanford Departments and Centers:
Psychiatry, Child Psychiatry
Neuroscience Institute
T32 affiliation:
Research Training for Child Psychiatry and Neurodevelopment
Research Interests: