Developing computational approaches and methodologies for high-dimensional multi-omic studies with an emphasis on single-cell technology
I have a strong background in computational biology/bioinformatics with specific expertise in single-cell sequencing technology. I have analyzed transcriptomes as well as genomes of thousands of single cells from a range of cell types, including cancer, induced pluripotent stem cells, neuronal cells, blood cells, ovarian cells for various studies identifying gene signatures and/or mutations specific to particular cell types. Recently, we studied single cell transcriptomic profiles of glioblastoma (bran cancer) and identified S100A4 as an immunotherapy target. I have also been involved in the development of a computational approach to support the design and analysis of single cell RNA-seq experiments.