Emily Getzen, MS is a Biostatistics PhD student in the Perelman School of Medicine. Her research lies at the intersection of biostatistics, clinical informatics, and computer science. She works with complex multimodal electronic health records data with irregular time intervals and varying frequencies. She also has experience with other high dimensional data modalities such as imaging and genetics data. Getzen enjoys building model architectures that can handle complex data structures, understanding the mechanisms that explain a model’s prediction, and investigating and accounting for correlated missing data.
Emily Getzen, MS
- PhD Student, Biostatistics, Perelman School of Medicine
Incomplete Electronic Health Records Can Exacerbate Bias in Predictive Models
Q&A on Sources of Bias That May Exacerbate Health Inequities