Talk Title: To Be Announced
Dokyoon Kim (Geisinger Health Systems)
My research entails the development and application of data integration approaches to improve the ability to diagnose, treat, and prevent complex diseases. My primary focus lies in integrating multi-omics data and biological knowledge to better translate genomic and biomedical data from electronic health records (EHR) into clinical products. My past projects have been both theoretical and applied, and they include developing data integration methods that combine multi-omics data and biological knowledge, predicting cancer clinical outcomes based on interactions between multi-omic features, and identifying gene-by-environment (GxE) interactions in several phenotypes/diseases. I plan to continue my work in these areas, focusing primarily on providing actionable clinical products based on inter-plays within/between different dimensional genomic data. In particular, my long-term research goal is to develop and evaluate sophisticated data integration methods that simultaneously combine peoples’ individual variations in genomic (‘omic) data, phenotype data from EHR, and environment/lifelog data for improved precision medicine.