I build and study intelligent systems — from deep learning and multimodal models to mechanistic interpretability and real-world ML pipelines.
I'm an AI/ML researcher and engineer based in Sydney, Australia.
My interests sit at the intersection of deep learning, foundation models, multimodal AI, computer vision, and interpretability. I enjoy understanding not just whether a model works, but what it learns, how it reasons, and why it behaves the way it does.
I've previously worked on production machine-learning systems and now spend much of my time exploring research problems that connect modern AI with real-world applications.
- 🧠 EEG Foundation Models and representation learning for neural signals
- 🔍 Mechanistic Interpretability — Sparse Autoencoders, Circuit Tracing & causal interventions
- 🩻 Vision-Language Models for Medical Imaging
- 👁️ Computer Vision & Multimodal Learning
- ⚙️ Reliable ML Systems & MLOps
Pixel Sprites Exploring AI-powered image understanding and intelligent workflows around personal media.
I'm also working on research involving EEG foundation models, circuit-level interpretability, and medical vision-language models.
I'm always happy to talk about AI research, machine learning, interpretability, computer vision, interesting papers, or ambitious projects.
Learning how intelligent systems work — and how to make them work better.