My work investigates the capture of structured phenotypic data from clinical encounters using refined user interfaces and mining of unstructured data (mostly text mining, based on machine learning methodology), and the analysis of omics data (genome, transcriptome, epigenome) in the context of the structured patient phenotypes, mostly for rare diseases. Overall, my research goal is to streamline clinical workflows and enable faster and better treatments by creating seamless automated analyses of patient omics data based on automatically captured information from clinical encounters.