معرفی
Heyjun Park is an Assistant Professor at the Bloomberg School of Public Health, Johns Hopkins University, with primary affiliations in the Department of International Health and the Center for Human Nutrition Research. Her work bridges nutritional science with precision health and data science.
- PhD in Nutritional Sciences (Minor: Epidemiology and Genomics), Cornell University (2017)
- Postdoctoral Research, Stanford University School of Medicine (Genetics Department)
- Registered Dietitian (RD), UCSF Medical Center (2018)
- Master of Science (MS) and Bachelor of Science (BS), Yonsei University (2010, 2008)
Her research focuses on nutrition and disease prevention, combining plant-based food interventions with multi-omics profiling to study cardiometabolic pathways. She employs digital health monitoring and machine learning to analyze dietary patterns and metabolic outcomes, particularly in maternal and child health contexts.
Recent publications highlight her work on fiber supplementation and its microbiome-mediated effects (e.g., LDL reduction via arabinoxylan), vitamin D metabolism in pregnancy, and machine learning applications for diabetes subphenotypes. These studies span nutritional biochemistry, molecular epidemiology, and digital health technologies.
