Lin Zhang, PhD

Assistant Professor, Division of Biostatistics

Lin Zhang

Contact Info

zhan4800@umn.edu

Office Phone 612-624-0624

Office Address:
A460

Mailing Address:
420 Delaware St SE
MMC 303 Mayo
Minneapolis, MN 55455

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