Lin Zhang, PhD
Assistant Professor, Division of Biostatistics

Contact Info
Assistant Professor, Division of Biostatistics
PhD, Statistics, Texas A&M University, 2012
MS, Biology, Texas A&M University, 2007
BS, Biology, Fudan University, 2004
Summary
My research is based primarily on the development of Bayesian methodology for complex-structured data analysis in the presence of high dimensionality and/or a large sample size, with a focus on biomedical applications. The scientific questions involved in my research include functional connectivity analysis of neuroimaging data, spatial analysis of periodontal and prostate image data, and gene-based genome-side association studies.
Expertise
Methods
Research
Research Funding Grants
- 2016–2021,NIH Nat'l Heart, Lung, and Blood Inst., "Access to the cardiac catheterization laboratory in patients without ST-segment elevation myocardial infarction resuscitated from out-of-hospital ventricular fibrillation cardiac arrest (The ACCESS Trial- DCC)," Co-Investigator
- 2016–2021, Cystic Fibrosis FDN, "Impact of Insulin Therapy on Protein Turnover in Non-Diabetic CF Patients," Co-Investigator
Publications
Selected Recent Publications
- L. Zhang, V. Baladandayuthapani, H. Zhu, K.A. Baggerly, T. Majewski, B.A. Czerniak, J.S. Morris. " Functional CAR models for large spatially correlated functional datasets. JASA Theory and Methods,
- Zhang L, Sarkar A, Mallick B. "Bayesian sparse covariance decomposition with a graphical structure," Statistics and Computing, Jan 2016
- Zhang L, et al. "Functional CAR models for large spatially correlated functional datasets," Journal of the American Statistical Association, Aug 2016
- Correll C, Spector L, Zhang L, Binstadt BA, Vehe RK. "Use of Rheumatology Laboratory Studies Among Primary Pediatricians," Clinical Pediatrics, Jan 2016
Teaching
Courses
- PubH 7440, Introduction to Bayesian Analysis
- PubH 8472, Spatial Biostatistics