Jinling Liu,

Dr. Liu’s Lab is currently recruiting Postdocs and PhD students. Please see the lab website below for details.

Dr. Jinling Liu is an Assistant Professor in the Department of Epidemiology housed in both College of Public Health and Health Professions and College of Medicine at the University of Florida (UF). She is also co-directing the UF Center for Genetic Epidemiology and Bioinformatics. Before joining UF, she was a faculty member in the Department of Engineering Management and Systems Engineering (EMSE) and Department of Biological Sciences at Missouri University of Science and Technology (Missouri S&T). Dr. Liu holds a Ph.D degree in Biology from the Pennsylvania State University as well as an MS degree in Biomedical Informatics from the University of Pittsburgh. Dr. Liu also completed a National Library of Medicine Postdoctoral Fellowship in Biomedical Informatics. She has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning.

Dr. Liu’s research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a variety of statistical and machine learning techniques – one of her projects along these lines has been recently funded by a prestigious NIH Career Development Award for young investigators. One main theme of her research is to infer from the multi-omics data the activation states of signaling pathways and utilize such information in precision medicine. She is committed to advancing precision medicine through her work. She is also collaborating with researchers in other domains for data analytics and decision making.

Liu lab has access to rich high-dimensional multi-omics data, including WGS, WES, DNA methylation, RNA-seq, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as well as the underlying signaling network for a variety of diseases including aging, cardiovascular diseases, brain diseases, cancer, et al., through novel statistical or deep learning methods development and application. If you are interested in data analytics, artificial intelligence, genetic epidemiology or precision medicine, please see the above Liu Lab website on how to apply. Feel free to direct any questions you may have to Dr. Liu through jinling.liu@ufl.edu.