Research
My work combines AI with bioinformatics to analyze multi-scale biological data — from databases and software tools to transcriptomic, genomic, and epigenomic analysis — with applications in immuno-oncology and neurobiology.
AI for Science
Applying AI and machine-learning approaches to biological and biomedical problems across omics data.
Bioinformatics Databases, Softwares & Tools
Developing bioinformatics databases and building analysis software and online tools for the community.
Transcriptomics
Profiling and interpreting gene expression from microarray, bulk RNA-seq, and single-cell (scRNA-seq) experiments.
Population Biology, Genomics, & Epigenomics
Studying genomic and epigenomic variation across populations.
Immuno-oncology
Studying the tumor immune microenvironment and cancer immunology through omics data.
Neurobiology
Applying omics and computational approaches to the biology of the nervous system.