I am Rui Shen, a statistician and data scientist currently pursuing a PhD in Statistics at Australian National University. My research focuses on high-dimensional statistics, tensor factor models, and time series methods, with applications to networks and multi-mode data. I enjoy translating complex theory into practical tools that help researchers and practitioners analyze large, real-world datasets. Beyond research, I build end-to-end data analysis pipelines in R, develop R packages, and collaborate with public health and bioinformatics teams to turn statistical insights into actionable decisions. I value clear communication, mentorship, and documentation to ensure that methods are accessible and reusable.

Rui Shen

I am Rui Shen, a statistician and data scientist currently pursuing a PhD in Statistics at Australian National University. My research focuses on high-dimensional statistics, tensor factor models, and time series methods, with applications to networks and multi-mode data. I enjoy translating complex theory into practical tools that help researchers and practitioners analyze large, real-world datasets. Beyond research, I build end-to-end data analysis pipelines in R, develop R packages, and collaborate with public health and bioinformatics teams to turn statistical insights into actionable decisions. I value clear communication, mentorship, and documentation to ensure that methods are accessible and reusable.

Available to hire

I am Rui Shen, a statistician and data scientist currently pursuing a PhD in Statistics at Australian National University. My research focuses on high-dimensional statistics, tensor factor models, and time series methods, with applications to networks and multi-mode data. I enjoy translating complex theory into practical tools that help researchers and practitioners analyze large, real-world datasets.

Beyond research, I build end-to-end data analysis pipelines in R, develop R packages, and collaborate with public health and bioinformatics teams to turn statistical insights into actionable decisions. I value clear communication, mentorship, and documentation to ensure that methods are accessible and reusable.

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Experience Level

Expert
Expert
Intermediate
Intermediate
Beginner
Beginner

Language

English
Fluent

Work Experience

Biostatistics Internship at Commonwealth Serum Laboratories
October 1, 2025 - October 1, 2025
Built an end-to-end R-based analysis pipeline and package to handle diverse cross-sectional and longitudinal datasets, improving modelling completeness and computational efficiency. Implemented modular statistical and machine-learning methods, enabling flexible model comparison and extension. Designed simulation studies and empirical case studies to benchmark methods, assess robustness, and validate performance on real-world datasets. Produced comprehensive documentation and user guides to support knowledge transfer and maintainability.
Research Assistant, R Package Builder at Australian National University
August 1, 2024 - August 1, 2024
Updated an R package implementing statistical methods for pooled testing; conducted extensive literature reviews, algorithm reproduction and validation, and case study analysis to ensure accuracy and applicability.
Research Assistant, Network Analysis at Australian National University
June 1, 2023 - June 1, 2023
Developed efficient data-cleaning workflows for large-scale time-series datasets, ensuring consistency and readiness for statistical analysis. Identified and resolved missing data issues and outliers to improve data quality.
Statistics Reading Group Speaker at Australian National University
January 1, 2024 - January 1, 2024
Discussed advanced statistical topics weekly and translated complex theories into accessible insights with real-world examples and interactive discussions. Presented topics including high-dimensional non-asymptotic and asymptotic statistics to interdisciplinary audiences.
Academic Tutor at Australian National University
February 1, 2021 - November 16, 2025
Tutored courses including Statistical Machine Learning, Big Data, Mathematical Statistics, Regression Modelling, Quantitative Research Methods, and Graphical Data Analysis.

Education

PhD in Statistics at Australian National University
January 1, 2023 - November 16, 2025
Bachelor of Statistics (Honours) at Australian National University
February 1, 2022 - December 1, 2022
Bachelor of Statistics & Finance at Australian National University
June 1, 2018 - December 1, 2021

Qualifications

Chancellor's Letter of Commendation
September 1, 2019 - November 16, 2025
Chancellor's Letter of Commendation
July 1, 2020 - November 16, 2025
Chancellor's Letter of Commendation
May 1, 2021 - November 16, 2025
Chancellor's Letter of Commendation
December 1, 2021 - November 16, 2025
Chancellor's Letter of Commendation
May 1, 2022 - November 16, 2025
Chancellor's International Scholarship
February 1, 2022 - November 16, 2025
RSFAS Honours Scholarship
February 1, 2022 - November 16, 2025
ANU Applied Probability Trust Prize
December 1, 2019 - November 16, 2025
ANU Terrell International Undergraduate Scholarship
January 1, 2019 - November 16, 2025
Australian Government Research Training Program International Scholarship
November 1, 2022 - November 16, 2025

Industry Experience

Education, Software & Internet, Professional Services, Healthcare, Media & Entertainment

Experience Level

Expert
Expert
Intermediate
Intermediate
Beginner
Beginner