Postdoctoral Research Associate, Case Western Reserve University, 2011
PhD, Michigan Technological University, 2008
Postdoctoral Research Fellow, Beijing Normal University and Hong Kong City University, 2003
PhD, Chinese Academy of Sciences, 2001
Huaizhen Qin has ample interdisciplinary expertise and original research experience in biostatistics and data science. He received his first doctor of philosophy in mathematical statistics with a focus on nationwide survey sampling and expanded his research to sensitivity analysis in econometrics and a second doctor of philosophy in mathematical sciences with a focus on statistical genetics, followed by postdoctoral training in genetic epidemiology. Over the years, he has contributed theoretical and methodological innovations for: (1) designing nationwide complex sampling surveys and diagnosing model sensitivity in econometrics; (2) mining omics data from small- and large-replicate experiments; and (3) localizing genetic determinants of complex diseases in multi-ethnic populations. His current research focuses on exploiting latent information in heterogeneous multi-scale data, targeting a holistic detection of multi-omics causers and unidirectional causal pathways of complex disorders, e.g., breast cancer, telomere attrition and diabetes, alcohol and nicotine co-addiction. He teaches intermediate biostatistics, causal inference, and principles of survey sampling.
View Dr. Qin's publications at his NCBI profile page.