Dr. Bin Nan's lab at UC Irvine focuses on developing statistical methods to improve research on Alzheimer's disease and aging. The lab works on methodologies for analyzing complex data from cohort studies, particularly for underrepresented populations. By creating new predictive models and statistical software, the lab aims to enhance our understanding of Alzheimer's etiology, prevalence, and prevention strategies.

The research lab led by Dr. Jing Zhang focuses on integrating advanced computational methods and genomic techniques to understand complex diseases like Alzheimer’s and the impacts of opioid use in people living with HIV. Their work involves studying molecular changes at the single-cell level, employing innovative artificial intelligence approaches, and validating findings through cutting-edge genomic technologies. This interdisciplinary lab aims to pioneer new insights into the interconnectedness of genetics, epigenetics, and disease mechanisms.