Siyu Heng
Siyu Heng
Assistant Professor of Biostatistics
-
Professional overview
-
Siyu Heng, PhD is an Assistant Professor in the Department of Biostatistics, with an interest in both methodology research and applied research. His areas of expertise are in causal inference, health data science, observational studies, randomized trials, sensitivity analysis, instrumental variables, measurement error, and in survey data and their applications in public health.
Dr. Heng’s research has been published in the Journal of the Royal Statistical Society and in Physical Review, among others. He has been recognized with several awards, including the IPUMS Global Health Research Award for the Best Student Paper; the Lawrence D. Brown Best Paper Award; the ASA Mental Health Statistics Section Student Paper Award; the ENAR Distinguished Student Paper Award; the NESS Student Research Award, and the Wellcome Trust Data Reuse Prize.
Dr. Heng received his PhD in applied mathematics and computational science from the University of Pennsylvania, and his BA in statistics from Nanjing University.
-
Education
-
PhD Candidate, Applied Mathematics and Computational Science (Statistics Track) University of PennsylvaniaBS, Mathematics, Nanjing University
-
Honors and awards
-
IPUMS Global Health Research Award for the Best Student Paper, Integrated Public Use Microdata Series (2021)IMS Hannan Graduate Student Travel Award, Institute of Mathematical Statistics (2021)ASA Mental Health Statistics Section Student Paper Award, American Statistical Association Section on Mental Health Statistics (2021)ENAR Distinguished Student Paper Award, International Biometric Society Eastern North American Region (2021)Wellcome Trust Data Reuse Prize: Malaria, Wellcome Trust (2019)Benjamin Franklin Fellowship, University of Pennsylvania School of Arts and Sciences (201620172018)
-
Areas of research and study
-
Causal InferenceEpidemiologyGlobal HealthHealth EquityInstrumental VariablesObservational StudiesPublic Health PolicyRandomized ExperimentationSocial Sciences
-
Publications
Publications
On interactions between observed and unobserved covariates in matched observational studies
Heng, S., & Small, D. S. (n.d.).Publication year
2020Journal title
arXiv preprint arXiv:2004.00766Protocol for a retrospective, comparative effectiveness study of the association between transesophageal echocardiography (TEE) monitoring used in coronary artery bypass graft (CABG) surgery and clinical outcomes
Mackay, E. J., Zhang, B. o., Heng, S., & Ye, T. (n.d.).Publication year
2020Journal title
MedRxivPage(s)
2020--05Protocol for an Observational Study of the Effect of Social Distancing on COVID-19-Related Death Toll during Phased Reopening
Zhang, B. o., Heng, S., Ye, T., & Small, D. S. (n.d.).Publication year
2020Protocol for an observational study on the effects of social distancing on influenza-like illness and COVID-19
Zhang, B. o., Ye, T., Heng, S., Levy, M. Z., & Small, D. S. (n.d.).Publication year
2020Journal title
arXiv preprint arXiv:2004.02944Social Distancing and Fevers
Zhang, B. o., Ye, T., Heng, S., & Small, D. S. (n.d.).Publication year
2020Instrumental variables: to strengthen or not to strengthen
Heng, S., Zhang, B. o., Han, X. u., Lorch, S. A., & Small, D. S. (n.d.).Publication year
2019Journal title
arXiv preprint arXiv:1911.09171Re-Evaluating Strengthened-IV Designs: Asymptotic Efficiency, Bias Formula, and the Validity and Power of Sensitivity Analyses
Heng, S., Zhang, B. o., Han, X. u., Lorch, S. A., & Small, D. S. (n.d.).Publication year
2019Journal title
arXiv preprint arXiv:1911.09171Can phoretic particles swim in two dimensions?
Sondak, D., Hawley, C., Heng, S., Vinsonhaler, R., Lauga, E., & Thiffeault, J.-L. (n.d.).Publication year
2016Journal title
Physical Review EVolume
94Issue
6Page(s)
062606Can phoretic particles swim in two dimensions?
Thiffeault, J. L., Vinsonhaler, R., Heng, S., Lauga, E. J.-M., Sondak, D., Hawley, C., & Heng, S. (n.d.).Publication year
2016Online Supplementary Materials for Association Between Transesophageal Echocardiography (TEE) During Coronary Artery Bypass Graft (CABG) Surgery and Clinical Outcomes
Mackay, E. J., Zhang, B. o., Heng, S., Ye, T., Neuman, M. D., Augoustides, J. G., Feinman, J., Desai, N. D., & Groeneveld, P. W. (n.d.).RIIM: Randomization-Based Inference Under Inexact Matching
Zhu, J., Zhang, J., Guo, Z., & Heng, S. (n.d.).