National University, Singapore
Kang Ning earned his B.S. in Computer Science from University of Science and Technology of China in 2003, and Ph.D. in Computer Science (Bioinformatics) from National University of Singapore in 2008. Kang had worked as the Post Doc research fellow in University of Michigan, Ann Arbor from 2007 to 2010, before he joined Qingdao Institute of BioEnergy and Bioprocess Technology (QIBEBT), Chinese Academy of Sciences as team lead for Computational Biology team. He has published more than 30 research papers on leading scientific journals including Nucleic Acid Research, Proteomics, ISME Journal, PLoS ONE and BMC Bioinformatics. His team has been supported by Ministry of Science and Technology of China (National Priority Basic Research 973), and Chinese Academy of Sciences.
He is interested in designing new algorithms in omics data analysis, as well as and high performance computing. In proteomics, he is interested in label-free protein identification and quantification. In metagenomics, I am interested in developing new methods for functional categorization and interaction mining of genes from whole genome sequencing data. In genomics,he is interested in gene expression, annotation and regulation network analysis from NGS data, especially in algae that produce biofuel or degrade cellulose. he is also interested in High Performance Computing for solving data-intensive bioinformatics problems such as NGS data analysis.