Email: ecui1 [at] jhmi [dot] edu
I am a 4th-year PhD Candidate in Biostatistics at the Johns Hopkins University.
My advisor is Dr. Ciprian M. Crainiceanu.
I am also fortunate to work with Dr. Raymond J. Carroll from Texas A&M University and Dr. David Ruppert from Cornell University.
My research focuses on developing Functional Data Analysis (FDA) and Semiparametric Methods to model large-scale high-dimensional data, with applications to wearable computing, neuroimaging, and many other fields.
I obtained my Bachelor's in Statistics from Zhejiang University in 2018.
See publications in my Curriculum Vitae or Google Scholar.
Selected Publications
Li R, Xiao L, Smirnova E, Cui E, Leroux A, Crainiceanu CM. Fixed-effects inference and tests of correlation for longitudinal functional data. Statistics in Medicine (2022).
Cui E*, Thompson EC*, Carroll RJ, Ruppert D. A Semiparametric Risk Score for Physical Activity. Statistics in Medicine (2022).
Cui E, Leroux A, Smirnova E, Crainiceanu CM. Fast Univariate Inference for Longitudinal Functional Models. Journal of Computational and Graphical Statistics (2022).
Cui E, Crainiceanu CM, Leroux A. Additive Functional Cox Model. Journal of Computational and Graphical Statistics (2021).
Xin C, Zhao M, Yao Q, Cui E. On the Distribution of the Hitting Time for the N-urn Ehrenfest Model. Statistics & Probability Letters (2020).
Talks
[04/2022] "A Semiparametric Risk Score for Physical Activity", The EBA Training Program 7th Annual Joint Presentation, Johns Hopkins University (virtual).
[04/2022] "A Semiparametric Risk Score for Physical Activity", Department of Biostatistics & Informatics, Colorado School of Public Health (virtual).
[03/2022] "A Semiparametric Risk Score for Physical Activity", ENAR 2022, Houston, TX.
[12/2021] "A Semiparametric Risk Score for Physical Activity", WIT Working Group, Johns Hopkins University, Baltimore, MD.
[08/2021] "Fast Univariate Inference for Longitudinal Functional Models", JSM 2021 (virtual).
[03/2021] "Fast Univariate Inference for Longitudinal Functional Models", ENAR 2021 (virtual).
[02/2021] "Additive Functional Cox Model", Division of Biostatistics, Thomas Jefferson University (virtual).
[08/2020] "Additive Functional Cox Model", JSM 2020 (virtual).
Honors and Awards
June B. Culley Award, Johns Hopkins University, 2021
Jane and Steve Dykacz Award, Johns Hopkins University, 2021
News
[03/2022] Our paper "Fixed-effects inference and tests of correlation for longitudinal functional data" is accepted by Statistics in Medicine!
[11/2021] Our paper "A Semiparametric Risk Score for Physical Activity" is accepted by Statistics in Medicine.
[10/2021] I am the recipient of this year's June B. Culley Award from Johns Hopkins University.
[08/2021] Our paper "Fast Univariate Inference (FUI) for Longitudinal Functional Models" is accepted by Journal of Computational and Graphical Statistics.
[04/2021] I am the recipient of this year's Jane and Steve Dykacz Award from Johns Hopkins University.
[01/2021] Our paper "Additive Functional Cox Model" is accepted by Journal of Computational and Graphical Statistics. [code]
[12/2020] I passed my Schoolwide Preliminary Oral Exam.