Integrating neuroscience, psychiatry, and mathematical modeling represents the new frontier in applications and analysis of large neuroimaging datasets and has the potential to revolutionize our understanding of dynamical brain organization in healthy controls and in individuals with psychiatric disorders. I have a strong interdisciplinary background in (1) computational sciences, (2) neuroscience as well as (3) psychiatry. The application of computational modeling to neuroscience and psychiatry is nascent in its development but holds significant promise to positively affect public health. Funded by a career development award (K99/R00 NIMH) and a young investigator award (NARSAD Brain & Behavior Foundation), I am currently developing methods to model the temporal dynamics of brain activity in individuals with fragile X syndrome and healthy controls. I strongly believe that the spatiotemporal richness in brain activity might hold the key to finding the person- and disorder-centric biomarkers. 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 am a computational neuroscientist and currently focus on understanding brain dynamics at rest as well as during learning. Integrating neuroscience, psychiatry, and mathematical modeling represents the new frontier in applications and analysis of large neuroimaging datasets and has the potential to revolutionize our understanding of dynamical brain organization in healthy controls and individuals with psychiatric disorders. The application of computational modeling to neuroscience and psychiatry is nascent in its development but holds significant promise to affect public health positively. I firmly believe that the spatiotemporal richness in brain activity might hold the key to finding the person- and disorder-centric biomarkers.
Office of Vice President for Business Affairs and Chief Financial Officer.Office of VP for University Human Resources.
Stanford Woods Institute for the Environment.Stanford Institute for Economic Policy Research (SIEPR).Institute for Stem Cell Biology and Regenerative Medicine.Institute for Human-Centered Artificial Intelligence (HAI).Institute for Computational and Mathematical Engineering (ICME).Freeman Spogli Institute for International Studies.School of Earth, Energy and Environmental Sciences.
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