I am an Assistant Professor in the Department of Statistics at the University of South Carolina. I am also a member of the Carolina Autism and Neurodevelopment (CAN) Research Center and the Institute for Mind and Brain (IMB). I earned my Ph.D. in Biostatistics from Columbia University in 2019.
My research interests lie in the broad area of machine learning, network analysis, precision medicine, functional data analysis, causal inference, mediation analysis with neuroimaging and genetic biomarkers, and variable selection. My work focuses on developing machine learning and generative models to address complex challenges in neuroimaging, neurological and mental health disorders, and public health.
My research interests lie in the broad area of machine learning, network analysis, precision medicine, functional data analysis, causal inference, mediation analysis with neuroimaging and genetic biomarkers, and variable selection. My work focuses on developing machine learning and generative models to address complex challenges in neuroimaging, neurological and mental health disorders, and public health.
Research Interests
Machine learning; network analysis; graphical model; precision medicine; functional data analysis; causal inference; neuroimaging (e.g., sMRI, DTI, fMRI, EEG); biomarker; neurological and psychiatric diseases; mental health
FUNCODA Working Group
Contact Information
Email:
sx2@mailbox.sc.edu
Address:
Department of Statistics
University of South Carolina
Columbia, SC, 29208