Yue Yu is a Senior Data Science Analyst and seasoned bioinformatician with a PhD in Medical Informatics and eight years of experience translating clinical data into actionable research and care insights at Mayo Clinic. She combines deep expertise in Real-World Evidence, EMR systems (notably Epic), and multiple common data models (OMOP, PCORnet, i2b2) with production-grade ETL design and robust knowledge of medical terminologies like ICD, SNOMED CT, RxNorm, and LOINC. A strong developer-scientist, Yue brings over a decade of R and SQL experience, multi-omics single-cell analysis skills (scRNA, CITE-Seq, scATAC, scTCR), and practical Python fluency to bridge computational methods and clinical workflows. Her record of peer-reviewed publications, IRB protocols, and academic appointments reflects both rigorous science and an ability to operationalize complex analyses in hospital settings. Known for converting messy EMR and sequencing data into reproducible pipelines, she uniquely blends hands-on coding with healthcare informatics strategy to accelerate translational studies.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Medical Informatics, Doctor of Philosophy - PhD, Medical Informatics at Jilin University
The development of ETL scripts to load FDA adverse event reporting system (FAERS) datasets into the OHDSI (OMOP) CDM.
Contributions:61 commits, 57 pushes in 11 months
dataminingreportingohdsifaersrisk-assessment
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