High-Dimensional Directed Network Analysis of Focal Epileptic Seizure
&
Whole-Brain Network Analysis of Massive Neuroimaging Data
Welcome to Yaotian Wang's personal website!
I am currently a postdoctoral fellow in the Department of Biostatistics and Bioinformatics at Emory University, working under the supervision of Professor Ying Guo. Before joining Emory, I completed my Ph.D. in Statistics at the University of Pittsburgh in 2023, where I worked with Professor Tingting Zhang.
My research interests are in the multidisciplinary areas of human brain mapping and computational neuroscience. My overarching goals are to provide a comprehensive understanding of how the brain's functional organization brings about different brain functions throughout the lifespan and how it differs in psychiatric and neurological illnesses. My work involves developing efficient and robust statistical modeling methods to analyze large-scale brain data and study the functional organization of normal and abnormal human brains. I also aggregate multiple datasets that include subjects from various age groups and jointly study them to reveal brain connectivity trajectories across the lifespan, as well as their relationships with behavioral and cognitive metrics and diseases. The statistical methods that I have developed are in four major statistical fields: Bayesian inference, network analysis, blind source separation, and high-dimensional data analysis.