Jin Jin, PhD

Jin Jin, PhD

Assistant Professor

Dr. Jin’s research focuses on developing statistical methods and computational tools to address cutting-edge problems in public health and medicine by integrating large-scale, multi-modal data. Her research areas include health equity issues in disease risk prediction, statistical genetics, and Bayesian hierarchical models for high-dimensional, complex-structured data.

Content Area Specialties

Statistical genetics and genomics, Integrative disease risk modeling, polygenic risk score, health equity.

Methods Specialties

Bayesian statistics, Mendelian randomization, high-dimensional models.