Our research area：bioinformatics, biostatistics, data mining and machine learning. We are currently focusing on utilizing and developing powerful computational and statistical algorithms and software tools for mass spectrometry based proteomics studies, e.g., protein identification, post-translational modification identification, discovery and localization, protein quantification, proteotypic peptide prediction, false discovery rate control, multiple hypothesis testing, etc.