At the B3C, our team is composed of dedicated faculty, experienced biostatisticians, and talented Ph.D. students, trained in a diverse array of biostatistical methods. Our expertise spans experimental and survey sampling design, linear and generalized linear models, nonlinear models, hierarchical modeling, categorical data analysis, longitudinal data analysis, survival analysis, spatial and temporal data analysis, functional data analysis, causal inference, machine learning and deep learning algorithms.
Meet our team
Dr. Ye Shen, Co-Director of B3C, Ernest Corn Professor
Specialization: Clinical trials, survival analysis, longitudinal/functional data modeling, missing data, causal inference, spatial and temporal data analysis, applied machine learning, infectious disease modeling, chronic disease studies in population-based cohorts.
Dr. XianYan Chen, Co-Director of B3C, Assistant Professor
Specialization: Complex data analysis, dimension reduction, variable selection, machine learning/deep learning algorithms, with applied expertise in fields such as ICU patient care and pharmacy, nutrition science, SERS-based pathogen detection, and patient safety research.
Dr. Chao Huang, Assistant Professor
Specialization: Alzheimer’s disease, Aging, Mental health, Osteoarthritis, Medical imaging data analysis, Neuroscience, Neuroimage, Imaging genetics, Single-cell data analysis, Large language model, Machine learning, Deep learning, Causal inference, Functional data analysis, Shape data analysis
Dr. Inkoo Lee, Assistant Professor
Specialization: Tensor (multi-dimensional) and high-dimensional data analysis, Bayesian inference, modeling mixed-type responses, machine learning, and their applications in biomedical, socioeconomic, and environmental research.
Dr. Yang Ge, Assistant Professor
Specialization: I use predictive modeling and data science approaches to turn raw data into actionable insights, bridging the gap between scientific discovery and effective protocol.
