Lingling An
Associate Professor, Agricultural-Biosystems Engineering
Associate Professor, BIO5 Institute
Associate Professor, Public Health
Associate Professor, Statistics-GIDP
Primary Department
(520) 621-1248
Research Interest
Lingling An, PhD, conducts research in the interdisciplinary boundaries of many fields such as statistical sciences, biological and medical sciences, genomics and genetics. Her statistical group's major research interests include development and application of statistical and computational methods for analysis of high-dimensional genomic/genetic, metagenomic/ metatranscriptomic, and epigenomic data. The overlying vision is to develop rigorous, timely and useful statistical and computational methodologies to help biologists/geneticists to ask, answer, and disseminate biologically interesting information in the quest to understand the ultimate function of DNA and gene network.


Zeng, L., An, L., & Wu, X. (2011). Modeling Drug-Carrier Interaction in the Drug Release from Nanocarriers. Journal of Drug Delivery.
Du, R., Mercante, D., An, L. -., & Fang, Z. (2014). A statistical approach to correcting cross-annotations in a metagenomic functional profile. Journal of Biometrics & Biostatistics.
Pena, E., Wu, W., Piegrosch, W., West, R., & An, L. (2016). Model Selection and Estimation with Quantal-Response Data in Benchmark Risk Assessment. Risk Analysis. doi:10.1111/risa.12644
Kadiyala, V. -., Patrick, N., Mathieu, W., Jaime-Frias, R., Pookhao, N., An, L. -., & Smith, C. L. (2013). Class I lysine deacetylases facilitate glucocorticoid-induced transcription.. Journal of Biology Chemistry, 288, 28900-12.
Sohn, M., An, L. -., Pookhao, N., & Li, Q. (2014). Accurate Genome Relative Abundance Estimation for Closely Related Species in a Metagenomic Sample. BMC Bioinformatics.