Area of research
Statistics and Probability · Artificial Intelligence
Research interest
Research interests include Statistical Methods and Inference, Machine Learning in Healthcare, Advanced Causal Inference Techniques, and Genetic Associations and Epidemiology.
Potential pitfalls in the use of real-world data for studying long COVID
DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure
Heterogeneity-aware and communication-efficient distributed statistical inference
Learning from local to global: An efficient distributed algorithm for modeling time-to-event data
Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm
The North-South Divide: Substance Use Risk, Care Engagement, and Viral Suppression Among Hospitalized Human Immunodeficiency Virus–Infected Patients in 11 US Cities
Substance use and STI acquisition: Secondary analysis from the AWARE study
The incidence of<i>Trichomonas vaginalis</i>infection in women attending nine sexually transmitted diseases clinics in the USA: Table 1