Biography
I am a PhD student in Biostatistics at Indiana University Indianapolis, where I am developing expertise in statistical methodology and its applications to biomedical and clinical research. My research interests include longitudinal data analysis, statistical genetics, machine learning, and the analysis of complex health data.
Before beginning my PhD, I worked as a Research Data Analyst at Boston University’s Chobanian & Avedisian School of Medicine and Framingham Heart Study, where I contributed to Alzheimer’s disease and related research projects in collaboration with multidisciplinary research teams. My work involved statistical analysis, data processing, and the application of machine learning and computational methods to biomedical data.
I earned an M.S. in Data Analytics from Boston University and a B.S. in Statistics from the University of California, Davis. Through my academic training and research experience, I have developed a strong interest in using rigorous statistical methods to address clinically meaningful questions and improve our understanding of disease risk, progression, and patient outcomes.
Selected Publications
Li Z, Prabhu SP, Popp ZT, Jain SS, Balakundi V, Fang T, Ang A, Au R, Chen J. A natural language processing approach to support biomedical data harmonization: Leveraging large language models. PLoS One. 2025;20(7):e0328262.
Li Z, Ding H, Wang M, Li Y, Fang T, Ang TFA, Ashita G, Gifford KA, Karjadi C, Levy D, Au R, Liu C. Association of DNA methylation age acceleration with digital clock drawing test performance: the Framingham Heart Study. Aging (Albany NY). 2025;17(7):1721.
