Wenbin is a bioinformatician and his work focuses on developing computational and mathematical models for high-throughput experimental data analysis. He has developed several easy-to-use tools and novel pipelines for accurate transcriptomics data analysis, including RTDBox for reference transcript data (RTD) construction with Illumina short read sequencing and high-resolution single molecule long read sequencing data, Splice Junction Usage Score (SJUS) for RTD assembly quality evaluation, 3D RNA-seq App for differential expression and differential alternative splicing analysis, and RLowPC for co-expression regulatory network construction. These tools have been applied in a wide range of projects, such as RTD constructions and data analyses in barley (BART1, BART2 and pan transcriptome studies of 20 barley genotypes), Arabidopsis (AtRTD1, AtRTD2, and AtRTD3), rice, potato, raspberry, lettuce, pumpkin as well as animal and human disease data. The 3D RNA-seq App he developed has over 6,000 users and won the Best Innovation Award in the School of Life Sciences at the University of Dundee as it is a real game-changer that allows biologists to conquer complex RNA-seq analysis in a couple of hours. The outputs of his work have engaged various opportunities for research commercialisation, internal and external collaborations with excellent research groups.