Dr. Wu’s research has been focused on in computational biology and bioinformatics. He is mostly interested in solving problems that are biologically important but not adequately addressed computationally. A large part of his work is devoted to the design, analysis and implementation of practical algorithms for important biological problems. Most of his current work is related to algorithmic problems arising in population genomics, phylogenetics and high-throughput sequencing. In population genomics, he has worked on developing algorithms for estimating recombination from population sequences, coalescent-based inference for population phylogeny, and population genealogical history inference. In high-throughput sequencing data analysis, he has worked on developing algorithms for calling structural variations (such as insertions and deletions) from sequence data.