Overview
My main research interest is causal inference and its applications to health, policy and social science. I also work on the interface between causal inference and machine learning. I have developed methods for propensity score, clinical trials, randomized experiments (e.g. A/B testing), difference-in-differences, regression discontinuity designs, representation learning. I also work on Bayesian analysis and statistical methods for missing data. I am serving as the editor for social science, biostatistics and policy for the journalĀ Annals of Applied Statistics.
Current Duke Appointments & Affiliations
Professor of Statistical Science
·
2021 - Present
Statistical Science,
Trinity College of Arts & Sciences
Professor of Biostatistics & Bioinformatics
·
2021 - Present
Biostatistics & Bioinformatics, Division of Biostatistics,
Biostatistics & Bioinformatics
Recent Scholarly Works
Uptake and safety profile of anti-amyloid immunotherapies in routine clinical practice
Journal article Journal of Alzheimer's Disease Reports · September 2026 BackgroundAnti-amyloid immunotherapies are approved by the United States Food and Drug Administration for the treatment of Alzheimer's disease; however, the adoption and s ... Full text CiteCardiovascular Multimorbidity and Associated Mortality Among Medicare Beneficiaries Dually Eligible for Medicaid.
Journal article J Am Heart Assoc · August 4, 2026 BACKGROUND: Patients dually eligible for Medicare and Medicaid have higher mortality rates and disparate outcomes for acute cardiovascular conditions compared with those eligible for Medicare alone. However, the association between dual eligibility, cardio ... Full text Link to item CiteImplementation of the ICH E9 (R1) addendum in vaccine efficacy studies: the hypothetical and principal stratum strategies.
Journal article Journal of biopharmaceutical statistics · August 2026 Over the past decades, the primary interest in vaccine efficacy evaluation has mostly been on the effect observed in trial participants complying with the protocol requirements (per protocol analysis). The ICH E9 (R1) addendum provides a structured framewo ... Full text CiteRecent Grants
Duke Ophthalmology Mentored Physician Scientist Program
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2026 - 2031Deprescribing Decision-Making using Machine Learning Individualized Treatment Rules to Improve CNS Polypharmacy
ResearchCo Investigator · Awarded by National Institute on Aging · 2024 - 2029Innovative Biostatistical Methods for Analysis and Assessment of Clinical Trials Augmented by Real World Data
ResearchCo Investigator · Awarded by Burroughs Wellcome Fund · 2021 - 2027View All Grants
Education
Johns Hopkins University ·
2006
Ph.D.
Peking University (China) ·
2001
B.S.