Xinming An is an interdisciplinary researcher and Assistant Professor in the Department of Anesthesiology at 大象传媒-Chapel Hill. With a strong background in mathematics, statistics, and psychometrics, he possesses extensive expertise in various statistical modeling techniques and their applications in medical research. His research primarily focuses on the analysis of complex, high-dimensional data, particularly in its relevance to medical science. He serves as a co-investigator and leads the analysis core for several large-scale observational and randomized controlled trial (RCT) studies.
His research interests span a variety of topics, including: (1) Development of risk prediction tools and identification of risk factors using interpretable machine learning and statistical techniques; (2) estimation and testing of (heterogeneous) treatment and causal effects based on RCT and observational data; (3) identification and validation of subtypes and objective biomarkers for various disorders, such as pain, PTSD, and depression. His research experience also covers diverse data types, including self-reported survey data, mobile device data (e.g., activity, heart rate, keystrokes, language, and GPS location), genomic data (e.g., genetic, DNA methylation, and microRNA), and neurocognitive assessment data.
