Jillian Hurst, PhD
Assistant Professor of Pediatrics
Director, Children’s Health and Discovery Initiative
Dr. Hurst received her PhD in pharmaceutical and biomedical sciences from the University of Georgia in 2009 for her work on the regulation of lysophospholipid signaling pathways in ovarian cancer and neural development in the laboratory of Shelley Hooks. She then moved to the University of North Carolina at Chapel Hill to work on ubiquitin-mediated regulation of MAP kinase cascades in Henrik Dohlman’s lab. She was a staff science editor at the Journal of Clinical Investigation and JCI Insight from 2012-2017. Dr. Hurst is well-versed in the broad areas of research that CHDI fosters, including clinical research, data science, and health policy and has been at the core of the successful acquisition of over 20 million dollars in external funding in recent years.
Hwanhee Hong, PhD, MS
Assistant Professor of Biostatistics & Bioinformatics
Dr. Hong is interested in developing Bayesian statistical methods for comparative effectiveness research, network meta-analysis, causal inference, measurement error, and generalizability. A flexible Bayesian modeling framework enables us to easily integrate different data sources and borrow information adaptively across them. The ultimate goal of her research is to provide comprehensive evidence from multiple data sources for answering clinical and scientific questions in public health and medicine.
Tracy Trong, MS
Tracy currently collaborates with clinicians, residents and fellows in the Department of Surgery, and Department of Obstetrics and Gynecology. Her professional experience includes data management, observational studies, genome-wide association studies, with an emphasis on reproducible research utilizing Sweave. Her research interests are in high dimensional data analysis, statistical genetics, and observational data.
Beiyu Liu, MS
Beiyu currently collaborates with clinicians, residents and fellows in the Department of Surgery, Department of Dermatology, and Pharmacy. He has extensive biomedical research experience and his specific areas of interest include regression analysis, predictive modeling, survival analysis, and observational studies.