Set-up biological experiments for evaluation of analysis methods of large-scale genomic data and apply statistical methods to compare different platforms (e.g. different microarray platforms or microarray and next-gen sequencing)
Develop novel strategies for integration of different genomic data using modulization and biological knowledge
Develop novel algorithms for miRNA target prediction
Develop novel algorithms for ChIP-seq and mRNA-seq data
Develop novel software pipelines for analysis and integration of different genomic data
Devlop mathematical models for biological systems using mechanistic or heuristic or network approaches
Specialties:
Genomic (microarray or next-gen sequencing gene/miRNA expression, ChIP-seq/chip, SNP, CGH) data analysis from statistical validation to method modification
Integration of different genomic data for novel discovery
Application of computational genomics in stem cell and immuology research
Machine learning for genomic/proteomic data from statistical validation to method evaluation and modification
Modeling of biological systems from signalling pathways to biochemical processes