I am a Bachelor of Science student at the University of Melbourne, majoring in Mathematics and Statistics with a specialisation in Statistics and Stochastic Processes.
My interests include statistical modelling, simulation, optimisation, machine learning, and data-driven decision making.
I enjoy using mathematical and computational methods to solve problems involving uncertainty, ranking, optimisation, and statistical inference.
Sole-author research project on preference learning and group decision making.
The project investigates how text-derived pairwise preferences can be combined with noisy and heterogeneous annotators using reliability-aware aggregation.
Main areas:
- pairwise preference learning
- text representation
- annotator reliability
- ranking and aggregation
- robustness to noisy and adversarial annotations
Third-author research project submitted to ACML 2026.
My contributions include dataset collection, data visualisation, and writing and revising parts of the introduction.
Statistical analysis project covering regression, ANOVA, hypothesis testing, non-parametric methods, effect sizes, assumption checking, and data visualisation.
Tools: R, tidyverse, ggplot2
Python optimisation project that generates and allocates valid study groups under multiple constraints.
Uses combinatorial search, constraint validation, scoring, lexicographic tie-breaking, and recursive backtracking.
Tools: Python
Grid-based robotic vacuum simulation featuring directional sensors, obstacle-aware movement, dirt detection, cleaning cycles, and stack-based backtracking.
Tools: Python
One-dimensional cellular automata simulator implemented in C, including rule-based state evolution, linked data structures, and density classification.
Tools: C
Programming: Python, R, C, MATLAB
Statistics: Regression, ANOVA, hypothesis testing, non-parametric methods, statistical modelling
Algorithms: Simulation, combinatorial search, optimisation, backtracking, pairwise ranking
Tools: RStudio, tidyverse, ggplot2, Git, GitHub, LaTeX
University of Melbourne
Bachelor of Science
Major: Mathematics and Statistics
Specialisation: Statistics / Stochastic Processes
Expected graduation: December 2026
I am particularly interested in postgraduate study and research involving:
- statistical modelling
- modelling and simulation
- optimisation
- machine learning
- data science
- stochastic processes