About

Technical work with theoretical depth.

My background spans physics, machine learning, applied research, simulation, and engineering systems, moving from academia into industry.

Currently: Software Engineer at Gilmour SpaceFocus: engineering systems, simulation, artificial intelligence

Career Arc

Technical Foundations

01

2011 - 2019

Physics and mathematics shaped how I reason about models, uncertainty, and complex systems.

Machine Learning and Data Science

02

2019 - 2020

That foundation extended into applied machine learning, optimization, and predictive modelling.

Postdoctoral Research

03

2020 - 2022

Applied research across simulation, environmental forecasting, and artificial intelligence.

Engineering Systems

04

2024 - Present

Simulation tools and production software for engineering systems.

Background

Work and education

2024 - PresentGilmour Space Technologies, Software Services

Software Engineer

I develop scalable software systems for launch vehicles and satellites, including full-stack web applications that support mechanical design and production.

  • Backend and frontend development
  • CI/CD and infrastructure automation
  • Simulation-oriented work with substantial mathematical and programming demands
2020 - 2022The University of Queensland, CARM and ACEMS

Postdoctoral Research Fellow

I worked across environmental modelling, simulation, and control optimization, contributing research that connected probability, learning, and computational methods.

  • Environmental forecasting and fishery risk
  • Restless multi-armed bandits and index learning
  • Rare-event simulation using generative neural networks
2019 - 2020The University of Queensland, School of ITEE

Master of Data Science

I graduated with a GPA of 6.82/7.00, studying deep learning, data mining, database systems, and operations research.

Capstone project
Categorical Vector Clustering: Revealing hidden features of votes and voters. I developed a denoising autoencoder that classified voters and items into latent classes and predicted missing votes from sparse data. On U.S. House of Representatives votes from 1990 to May 2020, the model achieved 92.6% accuracy.
2016 - 2020The University of Queensland, SMP

Mathematics and Physics Tutor

I taught mathematics, physics, and data science courses during my postgraduate studies.

  • Tutorial, practical, and contact teaching
  • Assessment marking and lesson preparation
  • Subjects including calculus, linear algebra, electromagnetism, and statistics
2011 - 2015The University of Queensland, SMP

Bachelor of Science (Honours) / Bachelor of Arts

I majored in mathematics and physics, completed first class honours in Physics, and was involved in research throughout much of my undergraduate degree.

Highlights
This included the Advanced Study Program in Science, three UQ Summer Research Scholarship projects, multiple research presentations, a best poster award in 2012, and an internship contributing to transport simulation work at The Simulation Group.

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