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Jie Yang, PhD |
Dr. Jie Yang received her Ph.D. in statistics and post-doc training from University of Florida. Since 2011, Dr. Yang directs the Biostatistical Consulting Core, providing statistical support in study design and data analysis to all faculty, residents, fellows and students in the School of Medicine, researchers from Stony Brook University and outside of Stony Brook University. She has collaborated with clinicians and basic scientists from different fields for clinical trial designs and statistical data analysis. She is interested in adaptive clinical trial design and the development and application of statistical models to address public health and biomedical research questions in general.
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Xiaoyue Zhang, MS Biostatistician II |
Xiaoyue Zhang earned her Master’s in Statistics from Stony Brook University and has worked as a biostatistician since 2018, supporting all phases of research from grant planning to data analysis and manuscript preparation. She has broad experience in clinical trials, public health, and outcomes research, with expertise in longitudinal data analysis, survival analysis, and data visualization. Xiaoyue develops SAS macros and R functions to streamline analyses and is a certified Advanced SAS Programmer who has delivered workshops on various statistical methods. She has coauthored more than 30 peer-reviewed scientific articles.
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Taehoon Ha, MS Biostatistician II |
Taehoon Ha earned his Master’s degree in Biostatistics and Data Science from Cornell University. Since 2024, he has been serving as a biostatistician at Stony Brook Medicine, where he collaborates with investigators across clinical, translational, and laboratory research to strengthen study design and analytical strategies that enhance scientific rigor and reproducibility. Prior to this role, he led the Biostatistics Core at Cold Spring Harbor Laboratory, supporting research in cancer biology, neuroscience, and genomics. He also worked at Weill Cornell Medicine, where he gained extensive experience in bioinformatics, analyzing RNA-seq, single-cell RNA-seq, transcriptomic, and metabolomic data. His work there focused on understanding the links between obesity, inflammation, and cancer risk, particularly in studies of colorectal and breast cancer.