Contact:

Department of Statistics
Texas A&M University
3143 TAMU
College Station, TX 77843
Office: 458D Blocker
Email: irinag [at] stat.tamu.edu
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Click here for opportunities to join the group .


NEWS:

  • September 2021: Our paper with Mingze Huang and Christian L Müller on “latentcor: an R package for estimating latent correlations from mixed data types” has been accepted to Journal of Open Source Software

  • August 2021: Our paper with Yunfeng Zhang on “Joint association and classification analysis of multi-view data” has been accepted to Biometrics

  • June 2021: Irina has been awarded tenure and promotion to Associate Professor at Texas A&M effective September 1, 2021

  • May 2021: A new manuscript with Hee Cheol Chung and Yang Ni on “Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks” is now available on arXiv. R code to reproduce the results.

  • May 2021: A new manuscript with Dongbang Yuan on “Double-matched matrix decomposition for multi-view data” is now available on arXiv. R code to reproduce the results.

  • May 2021: Applications open for Summer 2021 Structured Research Experience (SRE) in Statistics. All TAMU BS Statistics majors are welcome to apply.

  • April 2021: Irina is a guest on Data & Science podcast with Glen Wright Colopy talking about Replicability and Reproducibility in Scince. YouTube video and PodBean

  • April 2021: A manuscript with Ben Risk on “Simultaneous Non-Gaussian Component Analysis (SING) for Data Integration in Neuroimaging” has ben accepted to Annals of Applied Statistics.

  • April 2021: Our paper on “Interpreting blood glucose data with R package iglu.” has been accepted to PLoS one. You can download iglu from CRAN or install from Github for most recent developments. All the functionality is also available directly as the shiny app.

  • February 2021: A manuscript with with Grace Yoon and Christian L Müller on “Fast computation of latent correlations” has appeared in JCGS. Check out [R code to reproduce simulations] and the improved [R package] to estimate latent correlations for mixed (continuous, binary and zero-inflated) variable types.

  • February 2021: Irina receives a CAREER Award from the National Science Foundation (NSF). TAMU College of Science press release.

  • January 2021: Irina is a guest on Pod of Asclepius podcast talking about her team’s work on Continuous Glucose Monitors. YouTube video and PodBean.

  • December 2020: Irina took part in a virtual NISS career panel, the panel summary is here.

  • June 2020: Our team has released a list of public Continuous Glucose Monitoring (CGM) datasets. Thank you to an amazing team of undergraduate researchers: Mary Martin, Elizabeth Chun, David Buchanan, Eric Wang and Sangaman Senthil who assembled this collection as part of their Aggie Research Project.