Jin Jin, PhD

Assistant Professor of Biostatistics
I lead a broad research program in developing statistical methods and computational tools to address cutting-edge problems in public health by integrating large-scale, multi-source datasets. My lab has been developing powerful methods for multi-modal risk model development to characterize and understand health disparities and improve health outcomes for underrepresented minority populations. Our endeavors in the field have been reflected in our involvement in building risk models based on genetic, behavioral, and sociodemographic factors, which has led to insights into nephrology, mental health, and COVID-19.

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