Dr. Dokyoon Kim is an Associate Professor of Informatics and serves as the Director of the Center for AI-Driven Translational Informatics (CATI). He also holds the role of Associate Director of Informatics at Immune Health. His primary focus is on the integration of multi-modal data, including omics data, environmental data, imaging, and phenotype data from Electronic Health Records (EHR). 

Dr. Kim's past projects have been both theoretical and applied. They include developing data integration methods that combine multi-omics data and biological knowledge, predicting clinical outcomes based on interactions between multi-omic features, integrating genomics and imaging data for various phenotypes and diseases, and conducting translational research using EHR-linked biobanks. 

His long-term research goal is to develop and evaluate sophisticated data integration methods that simultaneously combine individuals' variations in genomic ('omic) data, imaging data, phenotype data from EHR, and environmental/lifelog data to advance precision medicine. Through the use of artificial intelligence (AI), he contributes to the fields of precision medicine and translational informatics. Dr. Kim's innovative approach has the potential to revolutionize how biomedical data is utilized, leading to more accurate diagnoses and effective treatments. 

Dr. Kim began his academic career in 2016 as an Assistant Professor at the Biomedical & Translational Informatics Institute at Geisinger Health System. During his tenure at Geisinger, he developed pioneering methods for integrating diverse data types to improve patient care. Subsequently, he joined the University of Pennsylvania, where he continues to push the boundaries of informatics research. His work is instrumental in bridging the gap between data science and clinical practice, ultimately enhancing patient outcomes.