Margaret (Yuyao) Liu

SOCR team


Major: Master’s of Applied Statistics

Class of 2021

Margaret is a Master’s student studying Applied Statistics. She joined Statistical Online Computational Resource (SOCR) in May 2020 and is currently working on the Kimesurface transform and phase information estimation on Biobank data. Past projects include: high-dimensional regression and inference on fMRI Data and a co-developed published R package Time Complexity, and Inferential Uncertainty TCIU”, MIMIC-III data wrangling with R and SQLite to provide data support for Gray Rain Virtual Hospital synthetic dataset generation, and model-based and model-free statistical analysis on the relationship of Heart Failure and Sleep Apnea.


“MDP made me feel closely connected with the University of Michigan community, especially during a pandemic when I can still participate in informative virtual meetings and collaborate with faculty members and peer research students with diverse backgrounds. Joining MDP has given me both research and industry experience which would be valuable long term.”


Margaret plans to graduate in 2021 and pursue a career where she can apply her statistics degree.