Hanqi Luo
Asst Professor
Research Assistant Professor
Faculty, Global Health
Dr. Hanqi Luo is an assistant research professor and Chair of the data management group for the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project at Rollins School of Public Health, Emory University. She received her Ph.D. and postdoctoral training in epidemiology/nutrition at the University of California, Davis. Her research focuses on designing innovative methods and developing software for dietary and biomarker data analysis, evaluating the cost-effectiveness of micronutrient interventions, and understanding the relationship between micronutrient intake and health. She has published a few open-source packages (e.g., SIMPLE macro and UCD/NCI 1-day method) to streamline nutrition data analysis. Her passion is to reduce research disparity by using user-friendly open-source data analysis tools.
Areas of Interest
- Data Science
- Epidemiology
- Global Health
- Nutrition
- Statistical Modeling
Education
- B.S. 2008, University of Science and Technology Beijing
- M.Sc. 2011, Friedman School of Nutrition Science and Policy, Tufts University
- Ph.D. 2017, University of California, Davis
Publications
- Luo, H.; Dodd, K. W.; Arnold, C. D.; Engle-Stone, R, 2021, Introduction to the SIMPLE Macro, a Tool to Increase the Accessibility of 24-Hour Dietary Recall Analysis and Modeling., Journal of Nutrition, 151, 1329-1340
- Luo, H.; Brown, K. H.; Stewart, C. P.; Beckett, L. A.; Clermont, A.; Vosti, S. A.; Guintang Assiene, J. M.; Engle-Stone, R., 2021, Review of Existing Models to Predict Reductions in Neural Tube Defects Due to Folic Acid Fortification and Model Results Using Data from Cameroon, Advances in Nutrition, 12, 2401–2414
- Luo, H.; Zyba, S. J.; Webb, P., 2020, Measuring Malnutrition in All Its Forms: An Update of the Net State of Nutrition Index to Track the Global Burden of Malnutrition at Country Level, Global Food Security, 26, 100453
- Luo, H.; Dodd, K. W.; Arnold, C. D.; Engle-Stone, R., 2019, A New Statistical Method for Estimating Usual Intakes of Nearly-Daily Consumed Foods and Nutrients Through Use of Only One 24-Hour Dietary Recall, Journal of Nutrition, 149, 1667-1673