Erjia Cui

Erjia Cui is an Assistant Professor in the Division of Biostatistics & Health Data Science at the University of Minnesota. She earned her PhD in Biostatistics from Johns Hopkins University (2023) and a BSc in Statistics from Zhejiang University (2018).

• PhD Advisor: Ciprian Crainiceanu

Her research focuses on Functional Data Analysis (FDA) and developing scalable, reproducible software for complex data structures from large cohort studies like the UK Biobank and NHANES. Key areas include:

• Impact of wearable device data on aging and mortality
• Dimension reduction and smoothing techniques
• Functional regression models
• Longitudinal and multilevel functional data analysis

The trends in her publications highlight advancements in:

• CTMVA package for continuous-time multivariate analysis
• FastFMM package for univariate inference
• MFPCA for multilevel data
• Survival Analysis with functional predictors

She is recognized as a Delta Omega Honorary Society member and contributes to collaborative projects involving domain experts and software development.