Research Activities
Computational analysis and pipeline development for genomics data (bulk, single-cell, spatial genomics data)
Transcriptomic analysis of cancer cells, stem cells, organoids, human and murine tissues in disease models
Application of advanced statistical methods, machine learning, deep learning, explainable AI (XAI), and data mining for predicting pathological mechanisms, identifying disease biomarkers and supporting patient stratification.
Development, application and optimization of automated pipelines for the analysis of genomics, epigenomics and transcriptomics data for large-scale studies.
Deployment and application of automated analysis pipelines for the analysis of bulk, single-cell and spatial transcriptomics data.
TCR/BCR profiling and multi-modal data integration for immunological studies











