Qi Zhang

Associate Professor
Phone: (603) 862-3212
Office: UNH Mathematics & Statistics, Kingsbury Hall, Durham, NH 03824
Professor Qi Zhang, PhD in Statistics


  • Ph.D., Mathematics & Statistics, University of Pittsburgh
  • B.S., China Agricultural Univ

Courses Taught

  • MATH 644: Statistics Engnrs&Scientists
  • MATH 734/834: Statistical Computing
  • MATH 736/836: Advanced Statistical Modeling
  • MATH 741/841: Survival Analysis
  • MATH 796/896: Spc Top/Statistical Computing
  • MATH 835: Statistical Mthds for Research

Selected Publications

Veasna, K., Feng, Z., Zhang, Q., & Knezevic, M. (2023). Machine learning-based multi-objective optimization for efficient identification of crystal plasticity model parameters. Computer Methods in Applied Mechanics and Engineering, 403, 115740. doi:10.1016/j.cma.2022.115740

Yang, Z., Xu, G., Zhang, Q., Obata, T., & Yang, J. (2022). Genome-wide mediation analysis: an empirical study to connect phenotype with genotype via intermediate transcriptomic data in maize. GENETICS, 221(2). doi:10.1093/genetics/iyac057

Zhang, Y., Schmidt, J. W., Arthur, T. M., Wheeler, T. L., Zhang, Q., & Wang, B. (2022). A Farm-to-Fork Quantitative Microbial Exposure Assessment of beta-Lactam-Resistant Escherichia coli among US Beef Consumers. MICROORGANISMS, 10(3). doi:10.3390/microorganisms10030661

Papale, L. A., Madrid, A., Zhang, Q., Chen, K., Sak, L., Keles, S., & Alisch, R. S. (2022). Gene by environment interaction mouse model reveals a functional role for 5-hydroxymethylcytosine in neurodevelopmental disorders. GENOME RESEARCH, 32(2), 266-279. doi:10.1101/gr.276137.121

Du, Q., Campbell, M. T., Yu, H., Liu, K., Walia, H., Zhang, Q., & Zhang, C. (2022). Gene Co-expression Network Analysis and Linking Modules to Phenotyping Response in Plants.. Methods Mol Biol, 2539, 261-268. doi:10.1007/978-1-0716-2537-8_20

Zhang, Q. (2021). High-Dimensional Mediation Analysis with Applications to Causal Gene Identification. STATISTICS IN BIOSCIENCES. doi:10.1007/s12561-021-09328-0

Zhang, Q., Xu, Z., & Lai, Y. (2021). An Empirical Bayes approach for the identification of long-range chromosomal interaction from Hi-C data. STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, 20(1), 1-15. doi:10.1515/sagmb-2020-0026

ENCODE Project Consortium., Moore, J. E., Purcaro, M. J., Pratt, H. E., Epstein, C. B., Shoresh, N., . . . Weng, Z. (2020). Expanded encyclopaedias of DNA elements in the human and mouse genomes.. Nature, 583(7818), 699-710. doi:10.1038/s41586-020-2493-4

ENCODE Project Consortium., Snyder, M. P., Gingeras, T. R., Moore, J. E., Weng, Z., Gerstein, M. B., . . . Myers, R. M. (2020). Perspectives on ENCODE.. Nature, 583(7818), 693-698. doi:10.1038/s41586-020-2449-8

Li, J., Lai, Y., Zhang, C., & Zhang, Q. (2020). TGCnA: temporal gene coexpression network analysis using a low-rank plus sparse framework.. J Appl Stat, 47(6), 1064-1083. doi:10.1080/02664763.2019.1667311

Most Cited Publications