Computational statistics, statistical genetics and bioinformatics, multi-omic data analysis
My research focuses on two major areas: 1) developing statistical and machine learning methods for the analysis of high-throughput biological data and implementing them in open-source software, and 2) applying such methods to analyse and interpret complex biological data to answer experimentally-driven questions. I am also interested in studying the effects of DNA variation on gene expression measured in individual cells. We can explore single-cell genetics in two ways: by studying effects of common DNA variation on single-cell gene expression (single-cell quantitative trait locus mapping) and and by studying the effects of somatic DNA mutations on single-cell gene expression (clonal cell populations). The former provides information about genetic regulation of natural gene expression variation, while the latter informs us about the effects of DNA accumulated mutations in tissues that are relevant both to healthy ageing and to cancer.