Robin Liu
I am a fifth year PhD candidate at UC Santa Barbara in the department of Statistics and Applied Probability.
My research involves developing statistical methods for high-dimensional multivariate data. I have worked on covariance estimation, graphical models, and change point detection with applications ranging from genomics and neuroscience to econometrics.
Before joining UCSB in Fall 2020, I worked as a software developer in financial services. Before that, I got my Bachelor’s degrees from the University of Michigan where I double-majored in computer science and honors mathematics (295-396 series).
My legal name is spelled with a “u” as in “Ruobin”, but it is still pronounced “Robin”.
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news
| Jun 17, 2025 | Presented “A mixed model of regional functional connectivity from voxel-level BOLD signals” at the WNAR/IMS Annual Meeting 2025 in Whistler, BC, Canada. |
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| May 01, 2025 | “Estimation of the error structure in multivariate response linear regression models” was published in Wiley Computational Statistics |
| Dec 14, 2024 | Presented “A convex formulation of covariate-adjusted Gaussian graphical models via natural parametrization” at CFE-CMStatistics 2024 in London, UK. |
| Jun 12, 2024 | Won the student paper competition for “Natural Covariate-adjusted Gaussian Graphical Regression” at the WNAR/IMS Annual Meeting 2024 in Fort Collins, Colorado. |