My primary research interest includes studying theoretical and application aspects of data science, including statistical machine learning, biostatistics, robust statistics, adversarial machine learning, human imaging multi-omics, cancer data (oncology), and drug repurposing. I focus on integrative analysis of multi-view data in biomedical applications. These projects aim to reveal fundamental biological insights of complex diseases and are centered on clinical applications.
