Experience

 
 
 
 
 

Statistical Consultant

University of Connecticut

Sep 2018 – Present Connecticut
  • Organize workshops to introduce commonly used data analysis techniques such as multiple adjustment.
  • Provide walk-in statistical consulting service to faculties and students across departm.
  • Collaborate with clients to do data analysis in full statistical consulting projects.
 
 
 
 
 

Graduate Research Assistant

University of Connecticut

Sep 2017 – Present Connecticut
  • Derive non-asymptotic error bounds for the newly proposed integrative multi-view reduced-rank regression (iRRR) model.
  • Design a statistical inference procedure for the scaled iRRR estimator to conduct group-wise variable selection and apply it to a preterm infant study.
  • Apply the newly proposed nested reduced-rank method to the multivariate functional regression, and investigate the asymptotic performance of the resulting estimator.

Recent Publications

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Multi‐view data have been routinely collected in various fields of science and engineering. A general problem is to study the …
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Conference Presentations

  • Integrative multi-view regression: statistical inference with de-biased and scaled composite nuclear norm penalization
    • Joint Statistical Meetings, 2019

Honors and Awards

  • Graduate Student Travel Award, University of Connecticut, 2019
  • IBM Student Paper Award, the 33rd New England Statistics Symposium (NESS), 2019
  • Honorable Mention, Student Poster Competition, the 4th International Workshop on the Statistical Analyses of Multi-outcome Data, 2018
  • Statistics Scholar Fellowship, University of Connecticut, 2016-2018

References

  • Kun Chen, Department of Statistics, University of Connecticut

  • Zhi Geng, School of Mathematical Sciences, Peking University