Jin Jin, PhD
Assistant Professor of Biostatistics
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-source datasets. Her research areas include health equity issues in disease risk prediction, statistical genetics, and Bayesian hierarchical models for high-dimensional, complex-structured data. Dr. Jin’s methods to build risk models based on genetic, behavioral, and sociodemographic factors has led to insights into nephrology, mental health, and COVID-19, including a lead author paper in Nature Medicine, and can be broadly applied to other medical settings. She will develop and apply these approaches to build multi-modal risk models for underrepresented minority communities that promise to make substantial contributions to characterizing and understanding health disparities and improving health outcomes for underrepresented minority populations.