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Miss Khue Tran

Miss Khue Tran

Casual Academic
Science
School of Mathematics & Statistics

I am a PhD candidate in the School of Mathematics and Statistics at UNSW Sydney, where I also work as a casual academic. My research aims to build a rigorous statistical framework for estimation in streaming settings that parallels the foundations of classical statistics. I am also interested in computational statistics and building R packages. You can find my codes on Github.

I enjoy collaborating with researchers across disciplines who require statistical expertise. Thus, if you have access to data streams from your research/experiments and are looking for statistical support, feel free to reach out. More broadly, I am always happy to discuss statistics with anyone who needs it.

Outside of research, I have a keen interest in data visualization and run topical reading groups. For more information, visit my personal website.
E-mail
bao_khue.tran@unsw.edu.au
Location
School of Mathematics and Statistics Anita B. Lawrence Centre Room 4081
  • Journal articles | 2025
    Tran BK; Szabo M, 2025, 'Math + Struggle = Community', Math Horizons, 33, pp. 34 - 34, http://dx.doi.org/10.1080/10724117.2025.2504345
  • Preprints | 2024
    Tran BK; Wagaman AS; Nguyen A; Jacobson D; Hartlaub B, 2024, Nonparametric tests for interaction in two-way ANOVA with balanced replications, https://arxiv.org/abs/2410.04700v1

My research draws on mathematical statistics to study data stream. In particular, I am interested in developing a rigorous inferential framework for streaming estimators, which carefully accounts for the constraints inherent to the streaming setting and characterizes what is statistically achievable, and what is not..

A longer-term goal is to apply this theoretical lens to the problem of changepoint detection in streaming environments, with the aim of better understanding and improving upon existing online methods. I am also broadly interested in exploratory data analysis for streaming data, and in building interactive tools that make these methods accessible in practice.

My Teaching

For the most up-to-date and chronologically sorted list, you can visit my website.

  • MATH1041 - Statistics for Life and Social Sciences: 2026 T2, 2026 T1, 2025 T3
  • MATH5925 - Master Project: 2026 T2
  • DATA5002 - Data Visualization: 2026 T1
  • SCIF3000 - Science Industry Project: 2025 T3