My methodological research focus on developing statistical methods for routinely collected healthcare databases such as electronic health records (EHR) and claims data. I aim to tackle the unique challenges that arise from the secondary use of real-world data for research purposes. Specifically, I develop novel causal inference methods and semiparametric efficiency theory that harness the full potential of EHR data to address comparative effectiveness and safety questions. I develop scalable and automated pipelines for curation and harmonization of EHR data across healthcare systems and coding systems.
COntact
WebsiteLocation
Ann Arbor
Methodologies
Artificial Intelligence / Causal Inference / Computing / Data Integration / Data Mining / Data Visualization / Databases and Data management / Machine Learning / Mathematical and Statistical Modeling / Natural Language Processing / Security and Privacy / Statistics / Survey Methodology
Applications