Alumni
This person is a member of Sanger Institute Alumni.
Our group combines a number of state of the art technologies (e.g. Next Generation Sequencing and Genome Editing ) to investigate cancer genomes from different perspective, which produces a large volume of sequencing data. Using my expertise in data analysis and software development, I develop bioinformatics tools to analyze this torrent of data and try to draw a meaningful picture of cancer machanism.
I also have a strong interest in machine learning and it's application in cancer research. Large scale genome and epignome profiling studies such as the ENCODE, TCGA have opened new research avenues to fight cancer beyond the realm of protein coding genes. My recent research interest includes prioritization of regulatory (noncoding) mutations in cancer by applying advance machine learning techniques on an integrated genomic and epigenomic data.