Current Research Projects

Shuo Chen, Ph.D.:

  • Statistical methods for high-dimensional biomedical data with complex spatio-temporal strcuture
  • Network and statistical graph models
  • Machine learning methods
  • Bayesian methods
  • Application to neuroimaging, omni-omics, and environmental health data analysis

Raul Cruz-Cano, Ph.D.:

  • Canonical Correlation
  • Feature Selection and Dimesion Reduction Techniques
  • Data Analysis
  • Statistical Programming

Xin He, Ph.D.:

  • Analysis of Recurrent Event Data
  • Statistical Models for Panel Count Data
  • Penalized Threshold Regression Analysis
  • Study on Lubricant Use and Vaginal Microbiome
  • Longitudinal Study of the Vaginal Microbiome Prior to Incident STI
  • Therapeutic Potential for Aldosterone Inhibition in Duchenne Muscular Dystrophy
  • Study on Epidemiology of Concussions in Ivy League/Big Ten Sports

Chengsheng Jiang, Ph.D.:

  • Climate Change
  • Spatial Statistics
  • Air Pollution
  • GIS and RS
  • Environmental Sampling

Mei-Ling Ting Lee, Ph.D.:

  • Analysis of Genomic, Proteomic, and Sequecing Data
  • Threshold Regression Methodology for Cancer Risk Assessment
  • Soy Almond Bread as Complimentary Therapy for Prostate Cancer
  • Statistical Methods for Ophthalmologic and Cluster Data

Jing Zhang, Ph.D.:

  • Network meta-analysis, Generailzed evidence synthesis
  • Bayesian hierarchical models, Missing data analysis
  • Design and analysis of clinical trials
  • Machine learning