Siyu Heng

Siyu Heng

Siyu Heng

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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 Pennsylvania
BS, 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 Inference
Epidemiology
Global Health
Health Equity
Instrumental Variables
Observational Studies
Public Health Policy
Randomized Experimentation
Social Sciences

Publications

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation

Effects of behavioral intervention components to increase COVID-19 testing for African American/Black and Latine frontline essential workers not up-to-date on COVID-19 vaccination: Results of an optimization randomized controlled trial

Parent-daughter agreement about HPV vaccination status in Kenya and Malawi

Sensitivity Analysis for Binary Outcome Misclassification in Randomization Tests via Integer Programming

Maximizing the reach of universal child sexual abuse prevention: Protocol for an equivalence trial

Sensitivity analysis for matched observational studies with continuous exposures and binary outcomes

Instrumental variables: to strengthen or not to strengthen?

SOCIAL DISTANCING AND COVID-19: RANDOMIZATION INFERENCE FOR A STRUCTURED DOSE-RESPONSE RELATIONSHIP

Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies

The Central Role of the Propensity Score in Sensitivity Analysis for Matched Observational Studies

Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio

Hemoglobin Levels among Male Agricultural Workers: Analyses from the Demographic and Health Surveys to Investigate a Marker for Chronic Kidney Disease of Uncertain Etiology

Association between Transesophageal Echocardiography and Clinical Outcomes after Coronary Artery Bypass Graft Surgery

Increasing power for observational studies of aberrant response: An adaptive approach

Relationship between changing malaria burden and low birth weight in sub-saharan africa: A difference-in-differences study via a pair-of-pairs approach

SHARPENING THE ROSENBAUM SENSITIVITY BOUNDS TO ADDRESS CONCERNS ABOUT INTERACTIONS BETWEEN OBSERVED AND UNOBSERVED COVARIATES

Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools

Can phoretic particles swim in two dimensions?

Contact

siyuheng@nyu.edu 708 Broadway New York, NY, 10003
NYU School of Global Public Health
708 Broadway
New York, NY 10003

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