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Siyu Heng is an Assistant Professor in the Department of Biostatistics at New York University School of Global Public Health. His academic focus lies in methodology research and applied research within health data science. Dr. Heng’s expertise includes causal inference, observational studies, randomized trials, sensitivity analysis, and applications involving measurement error and survey data in public health contexts. He has made significant contributions to the field, with his research being published in prestigious journals such as the Journal of the Royal Statistical Society and Physical Review. Heng has received multiple awards, including the IPUMS Global Health Research Award for Student Paper and the ASA Mental Health Statistics Section Student Paper Award. He holds a PhD in Applied Mathematics with a focus on Computational Science from the University of Pennsylvania and a BA in Statistics from Nanjing University.
New York University School of Global Public Health • New York, NY
Teaching and conducting research in Biostatistics.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.