Maximize efficiency and reduce operational costs through strategic optimisation. I specialise in tailoring algorithms that solve complex placement, scheduling, and resource allocation problems—underpinned by a robust background in numerical methods and HPC.

My Background

I worked at the Australian National University, as a Research Fellow, where I was primarily tasked with applying optimisation techniques to difficult problems. During this time I became widely read in a variety of optimisation techniques and developed a variety of solutions for the projects I was assigned to.

What I Offer

I specialise in mathematical optimisation, developing efficient algorithms that solve complex scheduling, resource allocation, and computational problems. With expertise in Python, CUDA, and high-performance computing, I implement cutting-edge optimisation techniques that leverage parallel processing and probabilistic sampling to find optimal solutions quickly and reliably.

Expertise in Optimisation Techniques

I employ a range of mathematical optimisation methods tailored to real-world applications, including:

LIPO (Lipschitz Optimisation) – A powerful approach for global optimisation when the objective function is expensive to evaluate. By efficiently exploring the search space, LIPO is particularly useful for hyperparameter tuning, scientific modelling, and AI-driven decision-making.
Thompson Sampling & Bayesian Optimisation – Used when exploration and exploitation must be balanced.
Powell’s Method & Linear Descent Techniques – Applying gradient-free approaches to optimise functions where derivatives are unavailable or unreliable.
Gradient-Free Optimisation Methods – Implementing evolutionary algorithms, particle swarm optimisation, and simulated annealing where gradient-based approaches are impractical.
Classic Numerical Optimisation – Applying standard techniques to efficiently find local optima in well-behaved functions.

What I Don’t Do

Military applications
Not all optimisation algorithms fall within my mathematical background.

Who I Work With

Research institutions and R&D teams
Industrial and scientific software developers
AI and data science teams in scientific domains
Engineering and modelling specialists
Agtech firms

Why Work With Me?

Deep expertise in mathematical modelling, probabilistic inference, and high-performance computing.
Efficient use of GPU acceleration (CUDA) to reduce computational overhead in complex evaluation functions and scale optimisation workflows.
Custom solutions tailored for industry-specific challenges.