Dr. Dopazo’s interests revolve around functional genomics, systems biology and development of algorithms and software for the analysis of multi-omic data and its application to precision medicine and systems medicine. Specifically, he is interested in developing statistical and machine learning methods for large-scale integrative analysis of heterogeneous, high-throughput genomic and clinical data to understand and discover disease mechanisms and drug action mechanisms.