Jinyuan Liu, Ph.D.
Assistant Professor of Biostatistics, Vanderbilt University
Assistant Professor of Biostatistics, Vanderbilt University
I am a tenure-track Assistant Professor in the Department of Biostatistics (primary) and the Department of Psychiatry & Behavioral Sciences (secondary) at Vanderbilt University. My research develops statistical methods for high-dimensional data arising from multi-omics studies, neuroimaging, and wearable devices, with a unifying focus on distance-based semiparametric modeling, causal inference, and psychometrics.
My work spans three interconnected methodological programs: (1) a distance-based semiparametric framework for between-subject attributes with applications to microbiome, neuroimaging, and actigraphy data; (2) causal and mediation inference for high-dimensional non-sparse data; and (3) psychometric methods bridging classical item response theory with modern network approaches. Across all three programs, I aim to develop methods that are statistically rigorous, computationally tractable, and directly motivated by open scientific questions in psychiatry, mental health, and precision medicine.
I completed my Ph.D. in Biostatistics at the University of California, San Diego (2022), under the mentorship of Dr. Xin Tu and Dr. Xinlian Zhang. My dissertation developed semiparametric regression models for both between- and within-subject attributes, established asymptotic efficiency theory, and extended the framework to high-dimensional -omics and wearable data.
Office: 2525 West End Ave, Suite 1100, Nashville, TN 37203 Email: jinyuan.liu@vumc.org GitHub: Jinyuan Liu