Lingling An

Lingling An

Associate Professor, Agricultural-Biosystems Engineering
Associate Professor, Public Health
Associate Professor, Statistics-GIDP
Associate Professor, BIO5 Institute
Member of the General Faculty
Member of the Graduate Faculty
Primary Department
Department Affiliations
Contact
(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.

Publications

Tamimi, E., Kacira, M. -., Choi, C., & An, L. -. (2013). Analysis of microclimate uniformity in a naturally vented greenhouse with a high-pressure fogging system. Transactions of the ASABE, 56, 1241-1254.
West, W., Piegorsch, W. W., Pena, E., An, L. -., Wu, W., Wickens, A., Xiong, H., & Chen, W. (2012). The impact of model uncertainty on benchmark dose estimation. Environmetrics, 23, 706-716.
Yigiter, A., An, L. -., Chen, J., & Danacioglu, N. (2015). An on-line CNV detection method for short sequencing reads. Journal of Applied Statistics.
Story, D., Kacira, M. -., An, L. -., Yoon, J., & Akoglu, A. -. (2014). Multi-sensor and variable based machine vision guided crop diagnostics in greenhouse. TBD.
Jiang, H., An, L., Baladandayuthapani, V., & Auer, P. (2014). Classification, predictive modelling, and statistical analysis of cancer data. Cancer informatics.