Jung In Park

Sue & Bill Gross School of Nursing
University of California, Irvine

Dr. Jung In Park's research focuses on health informatics, for which she utilizes large datasets and advanced machine learning approaches to provide scientific evidence for improving patient outcomes. She received a PhD in nursing informatics from the University of Minnesota, focusing on building machine learning models to predict catheter-associated urinary tract infections using electronic health records. After earning her doctorate, Dr. Park expanded her expertise as a postdoctoral scholar at Stanford University, specializing in biomedical informatics and health data science.

Dr. Park aims to integrate health care and data science, leveraging the vast potential of big data and artificial intelligence to promote more informed and personalized health-care decisions. With her background in nursing, she brings a unique perspective to the practical applications of data science in clinical settings. 

Her research emphasizes the development of advanced machine learning models that predict patient outcomes and identify high-risk individuals, enabling targeted health-care interventions. Dr. Park has led several projects on predictive models for hospital-acquired infections and 30-day readmissions and has investigated survival outcomes and the quality of life of cancer patients. Additionally, she is deeply involved in research exploring health disparities, particularly among underrepresented populations, and investigating the broad effects of social determinants of health in underserved communities. Her work critically addresses issues of bias and fairness in machine learning algorithms. Through her research, Dr. Park is dedicated to advancing the integration of technology and health care to improve patient care and health equity.