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 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

Publications

Towards Robust Matched Observational Studies with General Treatment Types: Consistency, Efficiency, and Adaptivity

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Adaptive dwell scheduling for simultaneous multi-beam radar system based on array element selection with different polarization characteristics

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Bias Correction for Randomization-Based Estimation in Inexactly Matched Observational Studies

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Contributed Talk at the 2023 ENAR.

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Contributed Talk at the CCI Seminar, University of Pennsylvania.

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Contributed Talk at the CCI Seminar, University of Pennsylvania.

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Instrumental variables: to strengthen or not to strengthen?

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Invited Talk at Doctoral Seminar, School of Global Public Health, New York University

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Invited Talk at JSM 2023 (joint with Dr. Hyunseung Kang).

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Invited Talk at ``Dose Finding in Drug Development and Beyond" -- Conference Honoring Dr. Naitee Ting’s 70th Birthday, Storrs, U.S.A.

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Randomization-based inference for average treatment effect in inexactly matched observational studies

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Real-time dwell scheduling algorithm for phased array radar based on a backtracking strategy

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Reconciling Overt Bias and Hidden Bias in Sensitivity Analysis for Matched Observational Studies

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Social distancing and COVID-19: randomization inference for a structured dose-response relationship

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

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Valid Randomization Tests in Inexactly Matched Observational Studies via Iterative Convex Programming

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A Model-Free and Finite-Population-Exact Framework for Randomized Experiments Subject to Outcome Misclassification via Integer Programming

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

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Hemoglobin levels among male agricultural workers: analyses from the Demographic and Health Surveys to investigate a marker for chronic kidney disease of uncertain etiology

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Removing Strong Data Assumptions In Causal Inference Via Large-Scale Optimization

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Association between transesophageal echocardiography and clinical outcomes after coronary artery bypass graft surgery

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

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

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Sharpening the Rosenbaum sensitivity bounds to address concerns about interactions between observed and unobserved covariates

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

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