Hyeon Joo is a PhD student in Health Infrastructures and Learning Systems. He completed his MS in Computer Science and Engineering, and Master of Health Informatics from the University of Michigan, Ann Arbor. Hyeon has served as a software developer lead at Michigan Medicine, and involved in developing research data warehouses and a web-based cohort discovery self-serve tool and data integration between systems. He has also developed predictive machine learning models in patient outcomes research using EHR data. He is interested in finding a better way to synthesize comprehensive health data by creating data-driven algorithms, systems or tools, and implementing them in practical settings. He loves working in the field of health care as a data scientist and a software engineer.
What attracted you to the HILS Program?
As a computer engineer and data scientist, I thought that technical components would make things better in health care. Big data and new technological innovations are essential for the high quality of care and disease prevention, but not sufficient. The HILS program will bring me more breadth and depth knowledge of “Learning Health Systems” which include implementation and dissemination of machine learning and analytical tools at different scales in health care settings.
Areas of Interest
Research and scholarly interests: Machine Learning, Natural Language Processing and Implementation Science in Healthcare