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 neuroscience, medicine, 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
Prospective Students
I am looking for highly motivated students with a strong background in statistics and proficiency in programming (e.g., R, Python, MATLAB, or C++) to join my group. If you are a current PhD student at USC, please email me.
Functional and Complex Data Analysis (FUNCODA) Working Group
Co-founded with Yuexuan Wu, William Consagra
Biweekly meetings featuring a mix of presentations, paper discussions, and invited talks.
Open to faculty members and graduate students interested in functional data (e.g., curves, surfaces) and complex data (e.g., high-dimensional data, graphs, tensors), with applications across various domains such as neuroimaging, medicine, public health, and environmental science.
Contact Information
Email:
SX2@mailbox.sc.edu
Address:
Department of Statistics
University of South Carolina
Columbia, SC, 29208