Sheng has a long-standing interest in researching machine learning algorithms, tool development, and data analysis in bioinformatics. His academic training and research experience have provided him with a strong background in a variety of disciplines including computer science, statistics, and computational biology. He is currently research focuses on modeling drug discovery and disease marker diagnostics, as well as data analysis in cancer and neurological diseases.