معرفی
Mauricio Sadinle is a **Clinical Assistant Professor** in the Department of Biostatistics and an **Adjunct Assistant Professor** in the Department of Statistics at the **University of Washington**. He holds affiliations with the **Center for Statistics and the Social Sciences** and the **Center for Studies in Demography and Ecology**. His research focuses on statistical methods for record linkage, missing data, Bayesian biostatistics, and applications in epidemiology and public health.
Sadinle has a **PhD and MSc in Statistics** from Carnegie Mellon University and a **BSc in Statistics** from the National University of Colombia. He teaches advanced courses like **BIOST 570: Advanced Regression Methods for Independent Data** and has received NSF funding for developing tools to combine datasets with missing information.
His work spans **methodological advancements** in capture-recapture, duplicate detection, and population size estimation, with applications to public health crises like opioid overdose mortality and humanitarian challenges like estimating modern slavery. He emphasizes rigorous statistical foundations while addressing real-world data integration challenges.
Notable contributions include **Bayesian propagation of record linkage uncertainty** and **sequential modeling of nonignorable missing data**. His research bridges theory and practice, often collaborating with public health agencies and leveraging interdisciplinary collaborations across demography, epidemiology, and computer science.
