Current Research and Scholarly Interests
Dr. Manish Saggar is an Assistant Professor in Computational Neuropsychiatry at Stanford University and currently directs the Brain Dynamics Lab. The overarching goal of his lab is to develop computational methods that could allow for anchoring psychiatric diagnosis into biological features (e.g., neural circuits, spatiotemporal neurodynamics). His 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. He has previously received a career development award (K99/R00) from the NIMH and BBRF’s NARSAD Young Investigator Award. His work has been recognized by several local (e.g., Department’s Innovator Award and Excellence in Advancing Science Award) and national and international awards (e.g., Institute for Scientific Interchange, Italy, Fellow). His 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. They also actively pursue developing novel technologies for experimental design and data collection for enhancing human cognition (e.g., creativity and collaboration). Dr. Saggar received his Ph.D. in Computer Science from the University of Texas at Austin and later received postdoctoral training in Psychiatry from Stanford University School of Medicine.
