Biology · Computation · Evidence
I analyze omics data and develop scientific software, including AI tools for biomedical evidence retrieval. Through experimental collaboration and researcher training, I translate computational results into clear biological findings and practical next steps.
I develop and evaluate biomedical AI systems for evidence retrieval and AI-search measurement, with a focus on traceable sources, citation support and reliable assessment.
I integrate transcriptomic and epigenomic data to investigate biological questions with experimental collaborators. Current work extends to single-cell and spatial analysis.
I design analytical workflows and build the tools that make them reusable, from transcriptomic annotation to sequencing-data submission and reproducible software distribution.
I teach bulk and single-cell RNA-seq analysis, supervise computational research projects and work with experimental scientists to turn analytical results into biological insight.