NIH/NCRR project (US$1.2M) aimed to develop a set of statistical models and algorithms that will enable robust, accurate, and transparent analysis of large-scale quantitative tandem mass-spectrometry (MS/MS) based proteomic datasets from human clinical cancer specimens. I joined the project to computationally analyze and develop novel algorithms for protein identification and quantification problems based on tandem mass spectrometry.

11/2007 ~ present: Analysis of protein complexes (Ann Arbor, USA)

NIH/NCI project in The Proteomics Core for University of Michigan Cancer Center. I have worked on the development of novel method for analysis of protein interaction networks and essential protein prediction.

08/2003 ~ 11/2007: Algorithms in Computational Biology, Algorithms for Peptide Sequencing and Fragment Assembly (Singapore, Singapore)

NUS (National University of Singapore) research project aimed to provide novel algorithms for peptide sequencing. I have focused on de novo peptide sequencing from multi-charge spectra. I have also worked on the theoretical and experimental analysis of the Longest Common Subsequence and the Shortest Common Supersequence problems.

09/2002 ~ 07/2003: China national grid project on "Huai River Water Resources Protection and Management" system (Heifei, China)

China National Science Foundation project in National High Performance Computer Center (Hefei, China), aimed at using grid computing technique for automatic river resources protection. I joined the team as research assistant and developed grid computing software for the system.