Zhen Wei is a bioinformatician who joined the faculty at the Department of Biological Sciences at Xi’an Jiaotong-Liverpool University in 2020. His current research focuses on improving the metrics of predictive models in RNA genomics. He is also interested in the batch effect normalization techniques in NGS data, including their applications in various novel functional genomic technologies.

Feature engineering in the prediction of genomic markers: contributing to the search for and building of genomic features that will facilitate the machine learning prediction of the genomic molecular markers such as DNA, RNA, and protein modifications distributed non-randomly across the genome coordinates.

Software development in R/Bioconductor for the genomic metric extraction: building software packages in R which can facilitate the automatic comprehension of genomic features that are highly interpretable and predictive for the generic genomic data analysis. 


Functional genomics: inferring interactive relationships between genes, proteins, and molecular modifications from HTP assays with Bayesian network structural learning.

Technical artifact correction in high throughput sequencing: understanding technical biases in NGS assays using a data generating model; creating a computational pipeline that could detect and correct technical artefacts in various NGS datasets.

Investigating the effects of technical biases on biological conclusions: exploring improvement of biological conclusions following the correction of major technical artefacts in published NGS studies.

Assistant Professor in Bioinformatics, XJTLU, 2020 to present